For full submission instructions, visit https://www.bhi-bsn-2019.org

Program for 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)

  Monday, May 20 Tuesday, May 21 Wednesday, May 22
8:00 ‑ 8:15   Keynote Session 3  
8:15 ‑ 8:30 Opening Remarks  
8:30 ‑ 8:45 Opening Welcome  
8:45 ‑ 8:50 Keynote Session 1    
8:50 ‑ 9:00 BHI Session #5: Big Data & Machine Learning II
BHI Special Session #3: Genome Security & Privacy
 
9:00 ‑ 10:15 BHI Special Session #7: Decision-support computing by data-driven and AI-based approaches for healthcare
BHI Session #7: Medical Imaging II
10:15 ‑ 10:20  
10:20 ‑ 10:30 BHI Session #1: Biomedical Signal Processing I
BHI Special Session #1: Nonparametric Statistics in Omics Applications "
Tuesday AM Coffee Break
10:30 ‑ 10:40 Keynote Session 6
10:40 ‑ 11:15 Keynote Session 4
11:15 ‑ 11:25 Wednesday AM Coffee Break
11:25 ‑ 11:30  
11:30 ‑ 11:50 Lunch and Clinical/Translational panel Industrial and development panel
11:50 ‑ 12:10 Coffee Break
12:10 ‑ 12:30 BHI Session #2: Biomedical Signal Processing II "
BHI Special Session #2: AI techniques for multi-modality medical big data
12:30 ‑ 13:30 BHI Session #6: Medical Imaging I
BHI Special Session #4: Wearable Sensor Informatics for Cardiopulmonary Monitoring
Lunch and EIC Panel
13:30 ‑ 13:40 BHI Special Session #6: Medical Imaging Informatics - Advances and Trends
BHI Session #8: Behavioral & Sensor Informatics
13:40 ‑ 14:00 Lunch
14:00 ‑ 14:15 Tuesday PM Coffee Break
14:15 ‑ 14:40 Keynote Session 5
14:40 ‑ 14:45  
14:45 ‑ 15:00 Keynote Session 2
15:00 ‑ 15:05  
15:05 ‑ 15:30 BHI Special Session #5: Internet of Things and Machine Learning for Health Informatics
BHI Session #9: Clinical & Public Health Informatics
15:30 ‑ 15:35  
15:35 ‑ 15:45 BHI Session #3: Big Data & Machine Learning I
BHI Session #4: Bioinformatics
15:45 ‑ 16:35 Rapid Fire Session #2 & Poster Session #2
16:35 ‑ 16:40  
16:40 ‑ 17:05 Closing Ceremony, Best Paper, Best Poster Awards
17:05 ‑ 17:25 Monday PM Coffee Break
17:25 ‑ 17:40 Rapid Fire Session #1 & Poster Session #1
17:40 ‑ 19:00  
19:00 ‑ 20:15    
20:15 ‑ 21:45 Welcome Reception    

Monday, May 20

Monday, May 20 8:15 - 8:30

Opening Remarksgo to top

Meeting Room AB

Chancellor Michael D. Amiridis, Univ of Illinois at Chicago

Monday, May 20 8:30 - 8:45

Opening Welcomego to top

Meeting Room AB

Jie Liang - BHI OC Chair, Univ of Illinois at Chicago Carmen Poon - BSN OC Chair, The Chinese Univ of Hong Kong"

Monday, May 20 8:45 - 10:15

Keynote Session 1go to top

Meeting Room AB

Keynote Speakers: Shankar Subramaniam (President of EMBS) Elazer R. Edelman (Massachusetts Institute of Technology): "How Computational Modeling Drove Revolution in Cardiovascular Medicine"

Monday, May 20 10:20 - 11:50

BHI Session #1: Biomedical Signal Processing Igo to top

Meeting Room DE
10:20 Towards EEG Generation Using GANs for BCI Applications
Fatemeh Fahimi (Nanyang Technological University & Institute for Infocomm Research, A*STAR, Singapore); Zhuo Zhang (Institute for Infocomm Research, Singapore); Boon W Goh (Nanyang Technological University, Singapore); Kai Keng Ang (Institute for Inforcomm Research, A*STAR, Singapore); Cuntai Guan (Nanyang Technological University, Singapore)
Presenter bio: Kai Keng Ang received his B.A.Sc. (First Class Hons.) and his Ph.D. degrees in computer engineering from Nanyang Technological University, Singapore. He is currently the Unit Head of Neural Biomedical Technology and Senior Scientist with the Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore. He is also an Adjunct Asst. Prof. in the School of Computer Science and Engineering, Nanyang Technological University, Singapore. His current research interests include brain-computer interfaces, computational intelligence, machine learning, pattern recognition, and signal processing.
10:35 Symptom-based, Dual-channel LSTM Network for The Estimation of Unified Parkinson's Disease Rating Scale III
Murtadha D. Hssayeni (Florida Atlantic University, USA); Joohi Jimenez-Shahed (Baylor College of Medicine, USA); Michelle A. Burack (University of Rochester Medical Center, USA); Behnaz Ghoraani (Florida Atlantic University, USA)
10:50 Image-based Motor Imagery EEG Classification using Convolutional Neural Network
Tao Yang, Koksoon Phua and Juanhong Yu (Institute for Infocomm Research, Singapore); Thevapriya Selvaratnam, Valerie E. Toh and Wai Hoe Ng (National Neuroscience Institute, Singapore); Kai Keng Ang (Institute for Inforcomm Research, A*STAR, Singapore); Rosa Q So (Institute for Infocomm Research, Singapore)
Presenter bio: Kai Keng Ang received his B.A.Sc. (First Class Hons.) and his Ph.D. degrees in computer engineering from Nanyang Technological University, Singapore. He is currently the Unit Head of Neural Biomedical Technology and Senior Scientist with the Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore. He is also an Adjunct Asst. Prof. in the School of Computer Science and Engineering, Nanyang Technological University, Singapore. His current research interests include brain-computer interfaces, computational intelligence, machine learning, pattern recognition, and signal processing.
11:05 A Deviation Analysis Framework for ECG Signals Using Controlled Spatial Transformation
Jiaming Chen, Ali Valehi, Fatemeh Afghah and Abolfazl Razi (Northern Arizona University, USA)
11:20 DeepDDK: A Deep Learning based Oral-Diadochokinesis Analysis Software
Yangyang Wang, Ke Gao, Ashley M. Kloepper, Yunxin Zhao, Mili Kuruvilla-Dugdale and Teresa E. Lever (University of Missouri, USA); Filiz Bunyak (University of Missouri, Columbia, USA)
11:35 End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNets
Ahmed Imtiaz Humayun (Bangladesh University of Engineering and Technology & mHealth Research Group, Bangladesh); Asif Shahriyar, Taufiq Hasan and Mohammed Imamul Hassan Bhuiyan (Bangladesh University of Engineering and Technology, Bangladesh)

BHI Special Session #1: Nonparametric Statistics in Omics Applications "go to top

Meeting Room GH
10:20 Controlling the false discovery rate in genomics research
Yanrong Ji (Northwestern University, USA); Ramana Davuluri (Northwestern University & Feinberg School of Medicine, USA); Sudesh Pundir (Pondicherry University, India)
Presenter bio: Tenured full Professor and Bioinformatics leader with 18+ years of experience in research and development of large-scale open-source data-science and informatics platforms by applying state-of-the art machine-learning and multivariate statistical methods. Continuously funded by NIH, Davuluri leads a group of PhD-level Applied Statisticians and Computer Scientists, with primary focus on developing innovative data-science solutions for identification of gene isoforms/splice-variants as disease biomarkers and therapeutic targets. The overarching goal of the group is to translate the Big Data from high dimensional (-omic) platforms (e.g., NextGen sequencing) to derive experimentally interpretable and testable discovery models towards genomics-based informatics platforms for precision medicine.
10:35 The Digital Biomarker Discovery Pipeline
Jessilyn Dunn, Shenghong Zhao and Ikponmwosa Ogbeide (Duke University, USA); Ryan Runge (University of California, San Francisco, USA)
10:50 Statistical Methods for Analyzing Microbiome Data
Yinglin Xia (University of Illinois at Chicago, USA)
11:05 Nonparametric Longitudinal Analysis of Omics Data
Ahmed A. Metwally and Michael Snyder (Stanford University, USA)
11:20 Bayesian Nonparametric Multi-Population Deconvolution Model for Hi-C Data
Alan Perez-Rathke (University of Illinois at Chicago, USA); Valentina Boeva (Institut Cochin, France); Jie Liang (University of Illinois at Chicago, USA)
11:35 Identifying Somatic Mutation Profiles via Power Law in Variational Autoencoder
Rahul Mehta (University of Illinois at Chicago, USA)

Monday, May 20 11:50 - 12:10

Coffee Breakgo to top

Meeting Room C

Monday, May 20 12:10 - 13:40

BHI Session #2: Biomedical Signal Processing II "go to top

Meeting Room DE
12:10 ECG Reconstruction via PPG: A Pilot Study
Qiang Zhu and Xin Tian (University of Maryland, USA); Chau-Wai Wong (North Carolina State University, USA); Min Wu (University of Maryland, College Park, USA)
Presenter bio: Qiang Zhu is a Ph.D. Candidate from the Electrical and Computer Engineering Department, University of Maryland, College Park. His research interests include biomedical signal processing, information forensics, and machine learning.
12:25 ECGNET: Learning Where to Attend for Detection of Atrial Fibrillation with Deep Visual Attention
Sajad Mousavi, Fatemeh Afghah and Abolfazl Razi (Northern Arizona University, USA); Rajendra Acharya (Ngee Ann Polytechnic, Singapore)
12:40 Atrial Fibrillation Detection Using Deep Features and Convolutional Networ
Hamid R. Tizhoosh and Sara Ross-Howe (University of Waterloo, Canada)
12:55 Silent Aspiration Detection in High Resolution Cervical Auscultations
Caroline Yu and Yassin Khalifa (University of Pittsburgh, USA); Ervin Sejdić (Univerisity of Pittsburgh, USA)
13:10 Multiview MAX-VAR canonical correlation approach for enhancing SSVEP based BCIs
Kiran Kumar Guruswamy Ravindran (Indian Institute of Technology Madras, India); RamasubbaReddy Machireddy (IITM, India)
13:25 Predicting the meal macronutrient composition from continuous glucose monitors
Zepeng Huo (Texas A&M University, USA); Bobak Jack Mortazavi (Texas A&M University & Center for Outcomes Research and Evaluation - Yale University, USA); Theodora Chaspari, Nicolaas Deutz, Laura Ruebush and Ricardo Gutierrez-Osuna (Texas A&M University, USA)

BHI Special Session #2: AI techniques for multi-modality medical big datago to top

Meeting Room GH
12:10 Multi-sensor Data Fusion for Emergency Prediction in Smart BAN-enabled Environments
Raffaele Gravina and Giancarlo Fortino (University of Calabria, Italy)
Presenter bio: He is Assistant Professor of Computer Engineering at the Dept. of Informatics, Modeling, Electronics, and Systems of the University of Calabria (Unical), Italy. He received a Ph.D. in Computer and Systems Engineering from Unical, in 2012. His research interests include wireless body sensor networks, smart-Health, and IoT technology. He is author of over 50 papers in int'l journals, conferences and books. He is co-founder of SenSysCal S.r.l., a Unical spin-off focused on innovative IoT systems
12:25 Learning the Computer-Aided Prescription Model for Parkinson's Disease
Yinghuan Shi (Nanjing University, P.R. China)
12:40 An Algorithm Strategy for Precise Patient Monitoring
Xiao Hu (University of California at San Francisco, USA)
12:55 AI-driven Cuff-less Blood Pressure Measurement
Fen Miao, Zengding Liu and Bo Wen (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, P.R. China)
13:10 Normalization of MR images from multi-center and multi-equipment
Jinhua Yu (Fudan University, P.R. China)

Monday, May 20 13:40 - 14:40

Lunchgo to top

Meeting Room AB

Meeting With Funding Agencies Dr. Wendy Nilsen (NSF), Dr. Dan Gallanhan (NIH/NCI), Dr. Suzana Petanceska (NIH) Moderator: S.Wong

Monday, May 20 14:45 - 15:30

Keynote Session 2go to top

Meeting Room AB

Keynote Speaker: Ketan Paranjape (Roche Diagnostics Corporation): "Integrating And Presenting Patient Data For Personalized Cancer Healthcare"

Monday, May 20 15:35 - 17:05

BHI Session #3: Big Data & Machine Learning Igo to top

Meeting Room DE
15:35 Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images
David J Ho, Shuo Han and Chichen Fu (Purdue University, USA); Paul Salama and Kenneth Dunn (Indiana University, USA); Edward Delp (Purdue University & School of ECE, USA)
Presenter bio: Edward Delp is currently The Charles William Harrison Distinguished Professor of Electrical and Computer Engineering and Professor of Biomedical Engineering. His research interests include image and video processing, image analysis, computer vision, image and video compression, multimedia security, medical imaging, multimedia systems, communication and information theory.
15:50 Reliable lymph node metastasis prediction in head & neck cancer through automated multi-objective model
Zhiguo Zhou, Liyuan Chen and David Sher (UT Southwestern Medical Center, USA); Xi Chen (Xi'an Jiaotong University & Institute of Image Processing and Pattern Recognition, P.R. China); Steve Jiang and Jing Wang (UT Southwestern Medical Center, USA)
16:05 Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes
Xu Wang (Shenzhen University, P.R. China); Xin Yang (The Chinese University of Hong Kong, Hong Kong); Haoran Dou (Shenzhen University, P.R. China); Shengli Li (Nanfang Medical University, P.R. China); Pheng Ann Heng (The Chinese University of Hong, Hong Kong); Dong Ni (Shenzhen University, P.R. China)
16:20 Functional connectivity magnetic resonance imaging classification of autism spectrum disorder using the multisite ABIDE dataset
Xin Yang (Southern Arkansas University, USA); Mohammad Samiul Islam (North South University, Bangladesh); A M Arefin Khaled (Southern Arkansas University, USA)
16:35 Prediction of Progression to Alzheimer's disease with Deep InfoMax
Alex Fedorov (The Mind Research Network, University of New Mexico, USA); R Devon Hjelm (Microsoft Research, Mila, University of Montreal, Canada); Anees Abrol (The Mind Research Network, University of New Mexico, USA); Zening Fu (The Mind Research Network, USA); Yuhui Du (The Mind Research Network, Shanxi University, USA); Sergey Plis (The Mind Research Network (MRN), USA); Vince Calhoun (University of New Mexico, USA)
16:50 Longitudinal Prediction Modeling of Alzheimer Disease using Recurrent Neural Networks
Solale Tabarestani, Maryamossadat Aghili, Mehdi Shojaie, Christian Freytes, Mercedes Cabrerizo, Armando Barreto and Naphtali Rishe (Florida International University, USA); Rosie Curiel (University of Miami, USA); David Loewenstein (Mount Sinai Medical Center
, USA); Ranjan Duara (Mount Sinai Medical Center, USA); Malek Adjouadi (Florida International University, USA)

BHI Session #4: Bioinformaticsgo to top

Meeting Room GH
15:35 Predicting Drug-Target Interactions Using Weisfeiler-Lehman Neural Network
Hafez Eslami Manoochehri (The University of Texas at Dallas, USA); Susmitha Sri Kadiyala and Mehrdad Nourani (University of Texas at Dallas, USA)
15:50 Employing the Inference Rules of Predicate Logic for Predicting Protein Functions
Kamal Taha (Khalifa University of Science, Technology & Research, United Arab Emirates)
Presenter bio: Kamal Taha is an Associate Professor in the Department of Electrical and Computer Engineering at Khalifa University, UAE, since 2010. He received his Ph.D. in Computer Science from the University of Texas at Arlington, USA. He has over 70 refereed publications that have appeared in prestigious top ranked journals, conference proceedings, and book chapters. Over 20 of his publications have appeared in IEEE Transactions journals. He was as an Instructor of Computer Science at the University of Texas at Arlington, USA, from August 2008 to August 2010. He worked as Engineering Specialist for Seagate Technology, USA, from 1996 to 2005 (Seagate is a leading computer disc drive manufacturer in the US). His research interests span defect characterization of semiconductor wafers, bioinformatics, Information Forensics & Security, information retrieval, data mining, and databases. He is a Senior Member of the IEEE.
16:05 Identifying Appropriate Probabilistic Models for Sparse Discrete Omics Data
Hani Aldirawi (University of Illinois at Chicago(UIC), USA); Jie Yang (University of Illinois at Chicago (UIC), USA); Ahmed A. Metwally (Stanford University, USA)
16:20 Alterations in Chromatin Folding Patterns in Cancer Variant-Enriched Loci
Alan Perez-Rathke, Samira Mali, Lin Du and Jie Liang (University of Illinois at Chicago, USA)
16:35 Taxonomic Classification at the Strain Level using a Species-of-Interest k-mer Database
Mladen Rasic (University of Illinois at Chicago, USA); Ahmed A. Metwally (Stanford University, USA); Patricia Finn and David Perkins (University of Illinois at Chicago, USA)
16:50 Structure-based Method for Predicting Deleterious Missense SNPs
Boshen Wang, Xue Lei, Wei Tian and Alan Perez-Rathke (University of Illinois at Chicago, USA); Jeffrey Tseng (Wayne State University, USA); Jie Liang (University of Illinois at Chicago, USA)

Monday, May 20 17:05 - 17:25

Monday PM Coffee Breakgo to top

Meeting Room C

Monday, May 20 17:25 - 20:15

Rapid Fire Session #1 & Poster Session #1go to top

Meeting Room AB
17:25 Neurophysiological Variations in Food Decision-Making within Virtual and Real Environments
Charissa S. L. Cheah and Stephen P. Kaputsos (University of Maryland, Baltimore County, USA); Varun Mandalapu (University of Maryland Baltimore County, USA); Truc "Claire" Thanh Tran (University of Maryland, Baltimore County & SAIL LAB, USA); Salih Barman, Sarah Jung and Kathy T. T. Vu (University of Maryland, Baltimore County, USA); Travis Masterson (Dartmouth College, USA); Ryan Zuber (University of Maryland Baltimore County & Imaging Research Center, USA); Lee Boot and Jiaqi Gong (University of Maryland Baltimore County, USA)
17:27 A Generic Algorithm for Sleep-Wake Cycle Detection using Unlabeled Activity Data
Shanshan Chen and Robert Perera (Virginia Commonwealth University, USA); Matthew Engelhard, Jessica Lunsford-Avery and Scott Kollins (Duke University, USA); Bernard Fuemmeler (Virginia Commonwealth University, USA)
17:29 Leveraging transfer learning techniques for classifying infant vocalizations
17:32 Centroid of Age Neighborhoods: A Generalized Approach to Estimate Biological Age
Syed Ashiqur Rahman and Donald Adjeroh (West Virginia University, USA)
Presenter bio: Syed Ashiqur Rahman is a Ph.D. Candidate in the Department of Computer Science at West Virginia University (WVU), USA. His research interests focus on the application of machine learning and data analytics to domain sciences (e.g., health sciences and bioinformatics). He serves voluntarily at a prestigious conference SBP (International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation) as a program committee member. In 2015, he worked as the student chair of SBP conference. Prior to joining WVU, he was a faculty member at Daffodil International University (DIU) from 2009 to 2012. He started his career as a Radio Frequency Engineer at the telecom vendor LM Ericsson Bangladesh Ltd. where he worked for the Radio Network Design Department. Syed received his B.Sc. degree in Computer Science and Engineering from the University of Dhaka in Bangladesh.
17:34 Quantifying eating behavior with a smart plate in patients with arm impairment after stroke
Gert Mertes (University of Oxford, P.R. China & KU Leuven, Belgium); Li Ding and Wei Chen (Fudan University, P.R. China); Hans Hallez (KU Leuven, Belgium); Jie Jia (Fudan University, P.R. China); Bart Vanrumste (KU Leuven, Belgium)
Presenter bio: Gert received his BSc and MSc in Electronics, Engineering, and Technology from KU Leuven, Belgium and subsequently joined the department of Electrical Engineering (ESAT) at KU Leuven for his PhD. His doctoral research focussed on sensor technology and machine learning techniques for the monitoring of ingestive behaviour in older adults via wearable devices. His research also saw the development of a novel sensor system for the detection of food bites during unrestricted eating, to be used by older adults in the prevention of malnutrition, and for prevention and treatment of obesity in young adults. Gert is currently a postdoctoral researcher with the Department of Engineering Science at the University of Oxford, based in the Oxford Suzhou Centre for Advanced Research (OSCAR) in Suzhou, China. Gert's research interests include machine learning for healthcare, biological signal processing, wearable devices, and remote patient monitoring.
17:37 Semi-Supervised Information Extraction for Cancer Pathology Reports
Hong-Jun Yoon, John Qiu, Georgia Tourassi and Mohammed Alawad (Oak Ridge National Laboratory, USA)
17:39 Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports
Mohammed Alawad, Georgia Tourassi and Hong-Jun Yoon (Oak Ridge National Laboratory, USA)
17:41 Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC
Hong-Jun Yoon, Georgia Tourassi and Mohammed Alawad (Oak Ridge National Laboratory, USA)
17:44 The MOVECARE Project: Home-based Monitoring of Frailty
Francesca Lunardini (Politecnico di Milano, Italy); Matteo Luperto (Università degli Studi di Milano, Italy); Marta Romeo (University of Manchester, United Kingdom (Great Britain)); Jennifer Renoux (Örebro University, Sweden); Nicola Basilico (University of Milan, Italy); Andrej Krpič (Smart Com, Slovenia); Nunzio Alberto Borghese (University of Milan, Italy); Simona Ferrante (Politecnico di Milano, Italy)
17:46 Predicting Oncogenic Missense Mutations
Xue Lei, Boshen Wang, Alan Perez-Rathke and Wei Tian (University of Illinois at Chicago, USA); Chia-Yi Chou and Jeffrey Tseng (Wayne State University, USA); Jie Liang (University of Illinois at Chicago, USA)
17:49 Brain-Inspired Hyperdimensional Computing for Real-Time Health Analysis
Mohsen Imani (UCSD, USA); Tarek Nassar (University of California San Diego, USA); Tajana Simunic Rosing (University of California, San Diego, USA)
17:51 Topic Discovery for Biomedical Corpus Using MeSH Embeddings
Guangxu Xun and Kishlay Jha (University of Virginia, USA); Ye Yuan (Beijing University of Technology, P.R. China); Aidong Zhang (University of Virginia, USA)
17:53 Unsupervised Prediction of Negative Health Events Ahead of Time
Presenter bio: Anahita Hosseini is a last year PhD student at UCLA. Her focus is on the intersection of wireless health and Machine Learning. She is interested in addressing specific challenges in healthcare data analysis.
17:56 HospiT'Win: A Predictive Simulation-Based Digital Twin for Patients Pathways in Hospital
Abdallah Karakra, Franck Fontanili, Elyes Lamine and Jacques Lamothe (University of Toulouse - IMT MINES ALBI, France)
Presenter bio: Abdallah Karakra is a PhD student at IMT MINES ALBI, France. He completed his BSc degree in Computer Science in 2009 and his MSc degree in Computing in 2015. He has previously held an academic position at Birzeit university as a faculty member.
17:58 Charactering hESCs Organoids from Electrical Signals with Machine Learning
Md Musaddaqul Hasib, Zane Lybrand, Vanesa Estevez, Jenny Hsieh and Yufei Huang (University of Texas at San Antonio, USA)
18:01 Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis
Xiaohui Yao (University of Pennsylvania, USA); Shan Cong (Purdue University, USA); Jingwen Yan (Indiana University Indianapolis, USA); Shannon Risacher and Andrew Saykin (Indiana University School of Medicine, USA); Jason Moore and Li Shen (University of Pennsylvania, USA)
18:03 Modeling Blood Volume Pulse Signal Using Exercise Intensity
Sediqeh Samadi and Mudassir Rashid (Illinois Institute of Technology, USA); Mohammad Reza Askari (400 E. 33rd Street & Illinois Institute of Technology, USA); Shahineze Saada and Paul Kolodziej (Illinois Institute of Technology, USA); Minsun Park and Laurie Quinn (University of Illinois at Chicago, USA); Ali Cinar (Illinois Institute of Technology, USA)
18:05 Laterality Coefficient: An EEG parameter related with the functional improvement in stroke patients
Marc Sebastian (Universitat Autònoma de Barcelona & GTEC, Spain); Rupert Ortner (GTEC Medical Engineering Spain SL, Spain); Esther Udina (Universitat Autònoma de Barcelona, Spain); Josep Dinarès-Ferran (GTEC, Spain); Katrin Mayr (Guger Technologies OG, Austria); Fan Cao (GTEC, USA); Christoph Guger (Guger Technologies OEG, Austria)
18:08 Designing an ontology for Head and Neck Cancer research
Liss Hernández González, Laura Lopez-Perez and Ana Ugena (Universidad Politécnica de Madrid, Spain); Maria Teresa Arredondo (Life Supporting Technologies; Technical University of Madrid, Spain); Giuseppe Fico (Universidad Politécnica de Madrid, Spain)
18:10 BWA-MEM Performance: Suffix Array Storage Size
Meysam Roodi (University of Toronto, Canada); Zahra Lak (Huawei Canada, Canada); Andreas Moshovos (University of Toronto, Canada)
18:13 circFA: a FPGA-based circular RNA aligner
Alberto Zeni, Francesco Peverelli, Enrico Cabri, Lorenzo Di Tucci and Luca Cerina (Politecnico di Milano, Italy); Marco D Santambrogio (Politecnico di Milano & MIT, Italy)
Presenter bio: 26 years old Research Assistant from Politecnico di Milano. He has a M.Sc in Biomedical Engineering, and his interests are cardiovascular signal processing, computer vision, neuromorphic and embedded systems.
18:15 Disruption of gene co-expression network along the progression of Alzheimer's disease
Yurika Upadhyaya (Indiana University Indianapolis, USA); Linhui Xie (Purdue University Indianapolis, USA); Kwangsik Nho (Indiana University School of Medicine, USA); Paul Salama (Indiana University, USA); Andrew Saykin (Indiana University School of Medicine, USA); Jingwen Yan (Indiana University Indianapolis, USA)
18:17 Computational Astrocyence: Astrocytes encode inhibitory activity into the frequency and spatial extent of their calcium elevations
Ioannis Polykretis (Rutgers University, USA); Vladimir A Ivanov (Rutgers, The State University of New Jersey, USA); Konstantinos Michmizos (Rutgers University, USA)
18:20 Axonal Conduction Velocity Impacts Neuronal Network Oscillations
Vladimir A Ivanov (Rutgers, The State University of New Jersey, USA); Ioannis Polykretis and Konstantinos Michmizos (Rutgers University, USA)
18:22 Efficient Skin Spectrum Coding Method
Soyoung Lee, Karam Choi and Sung Hyun Nam (Samsung Advanced Institute of Technology, Samsung Electronics, South Korea)
Presenter bio: Soyoung Lee, PhD, is a principal researcher of the mobile healthcare laboratory at Samsung electronics. She studied bioinformatics at the Korea Advanced Institue of Science and Technology and received her Doctor's degree in 2010. Since 2010, she has been developed bio-medical algorithms at Samsung electronics.
18:25 Open Framework for Mammography-based Breast Cancer Risk Assessment
Said Pertuz (Universidad Industrial de Santander, Colombia); Rulla Tamimi (Brigham and Women's Hospital, USA); Joni Kämäräinen and German Torres (Tampere University of Technology, Finland)
Presenter bio: S. Pertuz received the Master and PhD degrees on Computer Science at Rovira Virgili University (Spain) in 2009 and 2013, respectively. Between 2013 and 2018, he was a posdoctoral researcher at the Department of Radiology of the University of Pennsylvania (USA) and at the Department of Signal Processing of Tampere University (Finland). Currently, S. Pertuz is an assistant professor at the Electric and Electronics Department of Universidad Industrial de Santander (Colombia) where he leads the Connectivity and Signal Processing research group. His main interests include the development of image processing and computer vision techniques applied to quantitative medical image analysis for breast cancer risk assessment using different modalities including digital mammography, MRI and Tomosynthesis.
18:27 Unsupervised Seizure Detection based on Rhythmical Activity and Spike Detection in EEG Signals
Kostas M. Tsiouris (National Technical University of Athens, Greece); Spiros Konitsiotis (University of Ioannina, Greece); Dimitrios Koutsouris (National Technical University of Athens, Greece); Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece)
Presenter bio: Prof. Dimitrios I. Fotiadis received the Diploma degree in chemical engineering from the National Technical University of Athens, Athens, Greece, in 1985, and the Ph.D. degree in chemical engineering and materials science from the University of Minnesota, Minneapolis, in 1990. He is currently a Professor of Biomedical Engineering in the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece, where he is also the Director of the Unit of Medical Technology and Intelligent Information Systems, and is also an Affiliated Member of Foundation for Research and Technology Hellas, Institute of Molecular Biology and Biotechnology, Dept. of Biomedical Research and member of the board of the Michailedion Cardiology center. He was a Visiting Researcher at the RWTH, Aachen, Germany, and the Massachusetts Institute of Technology, Boston. He has coordinated and participated in more than 200 R&D funded projects especially in the field of ehealth. He is the author or coauthor of more than 230 papers in scientific journals, 400 papers in peer-reviewed conference proceedings, and more than 40 chapters in books. He is also the editor or coeditor of 20 books. He has received more than 7200 citations. He is a senior member of IEEE, member of IEEE Technical Committee of information Technology in Healthcare, an Associate Editor in the journals IEEE Transactions on Information Technology and Computers in Biology and Medicine and Receiving Editor of Biomedical Signal Processing and Control. His research interests include multiscale modeling of human tissues and organs, intelligent wearable devices for automated diagnosis and data processing and integration of Medical services.
18:29 Filter Bank Spatiotemporal Beamforming for Frequency Detection in SSVEP-based BCI
Yichuan Jiang (School of Biological Science and Medical Engineering, Southeast University, P.R. China); Yue Kang, Peng Wang and Sheng Ge (Southeast University, P.R. China)
18:32 Physiology-sensitive Virtual Reality based Strength Training Platform for Post-stroke Grip Task
Adyasha Dash (Indian Institute of Technology Gandhinagar, India); Anand Yadav (E-345, IIT Gandhinagar & IIT Gandhinagar, India); Uttama Lahiri (Indian Institute of Technology Gandhinagar, India)
18:34 A Novel EOG based Synchronous and Asynchronous Visual Keyboard System
Saravanakumar D and Vishnupriya R (Indian Institute of Technology Madras, India); RamasubbaReddy Machireddy (IITM, India)
18:37 Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease
Martin Ullrich (Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany); Julius Hannink (Friedrich Alexander University Erlangen Nuremberg, Germany); Heiko Gaßner and Jochen Klucken (University Hospital, Erlangen, Germany); Bjoern M Eskofier (Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany); Felix Kluge (Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany)
18:39 Automated Identification of Persistent Time-Domain Features in Seismocardiogram Signals
Jonathan Zia and Jacob Kimball (Georgia Institute of Technology, USA); Mobashir Shandhi (Georgia Tech, USA); Omer T Inan (Georgia Institute of Technology, USA)
18:41 Reconstructing 3D Lung Shape from a Single 2D Image during the Deaeration Deformation Process using Model-based Data Augmentation
Shuqiong Wu and Megumi Nakao (Graduate School of Informatics, Kyoto University, Japan); Junko Tokuno and Toyofumi Chen-Yoshikawa (Kyoto University Hospital, Japan); Tetsuya Matsuda (Graduate School of Informatics, Kyoto University, Japan)
18:44 Rapid Detection of Inactive Channels during Multi-unit Intracranial Recordings
Brian Premchand (Agency for Science, Technology and Research, Singapore); Kyaw Toe (Institute for Infocomm Research, A*STAR, Singapore); Chuanchu Wang (Institute for Infocomm Research (I2R) A*Star, Singapore); Camilo Libedinsky (National University of Singapore (NUS), Singapore); Kai Keng Ang (Institute for Inforcomm Research, A*STAR, Singapore); Rosa Q So (Institute for Infocomm Research, Singapore)
18:46 Respiratory Rate Estimation from Face Videos
Mingliang Chen and Qiang Zhu (University of Maryland, USA); Harrison Zhang (Georgia Institute of Technology, USA); Min Wu (University of Maryland, College Park, USA); Quanzeng Wang (Food and Drug Administration, USA)
Presenter bio: Ph.D student from University of Maryland
18:49 Improved Decoding of EEG-Based Motor Imagery Using Convolutional Neural Network and Data Space Adaptation
Shawn Chua (National University of Singapore, Singapore); Rosa Q So and Tao Yang (Institute for Infocomm Research, Singapore)
18:51 CCi-MOBILE: Design and Evaluation of a Cochlear Implant and Hearing Aid Research Platform for Speech Scientists and Engineers
John Hansen (University of Texas at Dallas, USA); Hussnain Ali, Juliana Saba, RamCharan ChandraShekar, Nursadul Mamun, Ria Ghosh and Avamarie Brueggeman (CRSS Center for Robust Speech Systems CILab UTDallas, USA)
18:53 Relationship Between Fetal Behavioral State and Auditory and Visual Stimulation
Neslihan Bisgin and James Wilson (University of Arkansas at Little Rock, USA); Murphy Pamela, Eric Siegel, Curtis Lowery and Hari Eswaran (University of Arkansas for Medical Sciences, USA)
18:56 Mental Workload Classification via Hierarchical Latent Dictionary Learning: A Functional Near Infrared Spectroscopy Study
18:58 Phasic Component of Electrodermal Activity is more Correlated to Brain Activity than Tonic Component
Hugo Posada-Quintero and Ki Chon (University of Connecticut, USA)
Presenter bio: Hugo F. Posada-Quintero received his B.S degree in electronic engineering from the Universidad Distrital Francisco José de Caldas in Bogotá D.C., Colombia, M.S. degree in electronics and computers engineering from Universidad de los Andes, Bogotá D.C., Colombia, and Ph.D. in biomedical engineering from the University of Connecticut, Storrs. Currently, he is a Research Professor in the department of biomedical engineering at the University of Connecticut. His topics of interest are mainly biomedical signal processing and biomedical instrumentation.
19:01 ResHNet: Spectrograms Based Efficient Heart Sounds Classification Using Stacked Residual Networks
Akshaya Balamurugan (Institute of Systems Science, National University of Singapore, Singapore); Sin Teo (Institute for Infocomm Research, Singapore); Jianxi Yang (Chongqing Jiaotong University, P.R. China); Xulei Yang (Yitu, Singapore); Zeng Zeng (A*STAR, Singapore)
19:03 Validation of bcbio-nextgen Pipeline Based on NextSeq500 Exome Sequencing
Erinija Pranckeviciene (Regional Genetics, CHEO, Canada & Faculty of Medicine, Vilnius University, Lithuania); Ryan J Potter (Children's Hospital of Eastern Ontario, Canada); Olga Jarinova (University of Ottawa & Regional Genetics, CHEO, Canada); Lijia Huang (Regional Genetics, CHEO, Canada)
19:05 Validity of digital Trail Making Test and Bells Test in elderlies
Francesca Lunardini (Politecnico di Milano, Italy); Matteo Luperto (Università degli Studi di Milano, Italy); Katia Daniele (Fondazione IRCCS Cà Granda – Ospedale Maggiore Policlinico, Italy); Nicola Basilico (University of Milan, Italy); Sarah Damanti and Carlo Abbate (Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Italy); Daniela Mari (Fondazione IRCCS Cà Granda – Ospedale Maggiore Policlinico, Italy); Matteo Cesari (Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Italy); Simona Ferrante (Politecnico di Milano, Italy); Nunzio Alberto Borghese (University of Milan, Italy)
19:08 Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission
Presenter bio: Bonggun Shin is a forth year student in the computer science PhD program at Emory University. He received his master's degree of electrical engineering in Korea Advanced Institute of Science and Technology (KAIST) and his bachelor's degree of computer engineering in Illinois Institute of Technology (IIT). Mr. Shin's research interest includes machine learning (ML), natural language process (NLP) and its healthcare applications.
19:10 Impact of Personalization on Epileptic Seizure Prediction
Javad Birjandtalab, Vipul Nataraj Jarmale and Mehrdad Nourani (University of Texas at Dallas, USA); Jay Harvey (UT Southwestern Medical Center, USA)
19:13 Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease
Aman Shrivastava, Karan Kant, Saurav Sengupta, Sung Jun Kang, Marium Khan and Sean Moore (University of Virginia, USA); S. Asad Ali (Aga Khan University, Pakistan); Beatrice Amadi (University of Zambia, Zambia); Paul Kelly (Queen Mary University of London, United Kingdom (Great Britain)); Sana Syed and Donald Brown (University of Virginia, USA)
19:15 When vestibular rehabilitation can assist: findings with use of data mining
Dimitrios Gatsios and Kostas M. Tsiouris (University of Ioannina, Greece); Dimitrios Kikidis, Athanasios Bibas and Christos Nikitas (National Kapodistrian University of Athens, Greece); Doris Eva Bamiou and Linda Luxon (University College London, United Kingdom (Great Britain)); Christoph Maurer (Neurologische Universitätsklinik, Germany); Floris Wuyts and Laura Celis (University of Antwerp, Belgium); Leen Maes (Ghent University, Belgium); Themis Exarchos (Ionian University & University of Ioannina, Greece); Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece)
19:17 A new method for breast micro-calcification detection and characterization using digital temporal subtraction of mammogram pairs
Kosmia Loizidou (University of Cyprus & KIOS Research and Innovation Center of Excellence, Cyprus); Galateia Skouroumouni (Nicosia General Hospital, Cyprus); Christos Nikolaou (Limassol General Hospital & Radiology Department, Cyprus); Costas Pitris (University of Cyprus & KIOS Research and Innovation Center of Excellence, Cyprus)
Presenter bio: Kosmia Loizidou is a PhD student at the University of Cyprus, holding the position of Research Assistant at the ‘KIOS Research and Innovation Centre of Excellence’. Her research interest is Biomedical Engineering with a specific focus in medical image processing and machine learning for the detection of breast cancer.
19:20 Simultaneous Multi-Surface Fitting for Vessel Wall Layer Delineation
Max L Olender and Lambros Athanasiou (Massachusetts Institute of Technology, USA); Jose de la Torre Hernandez (Hospital Universitario Marques de Valdecilla, Spain); Eyal Ben-Assa and Elazer Edelman (Massachusetts Institute of Technology, USA)
Presenter bio: Max is a PhD Candidate in Mechanical Engineering at the Massachusetts Institute of Technology (Cambridge, MA, USA). He studies the biomechanics of diseased coronary arteries to better understand and predict disease progression and intervention response. Max received his BS degree in Mechanical Engineering with a minor in Electrical Engineering and his MS degree in Biomedical Engineering from the University of Michigan (Ann Arbor, MI, USA). Previous research projects focused on sensory regenerative peripheral nerve interfaces for intuitive control and feedback from prosthetic devices, and modeling of the pelvic floor for educational and surgical planning applications.
19:22 Improved Prediction on Heart Transplant Rejection Using Convolutional Autoencoder and Multiple Instance Learning on Whole-Slide Imaging
Yuanda Zhu and Li Tong (Georgia Institute of Technology, USA); Shriprasad Deshpande (Children’s National Health System, USA); May Dongmei Wang (Georgia Tech and Emory Univ, USA)
Presenter bio: I am a PhD student of Electrical and Computer Engineering from Georgia Tech. I expect to graduate in May 2021. Advised by Prof. May D. Wang, I am working as a GRA at MIBLab, applying deep learning techniques on medical image processing and data-driven health informatics. For medical imaging, my research interest is weakly-supervised learning on whole-slide images. For health informatics, I prefer to topic on exploring the causal inference between diagnosis codes and non-diagnosis information (such as demographic, healthcare plan and payment) on the mortality consideration.
19:25 Compressed Sensing MRI Reconstruction using Low Dimensional Manifold Model
Saim Abdullah and Omar Arif (National University of Sciences and Technology, Pakistan); Tahir Mehmud (Benazir Bhutton Shaheed Teaching Hospital, Pakistan); Muhammad Bilal Arif (CMH Panu Aqil, Pakistan)
19:27 Medical Image Segmentation with Stochastic Aggregated Loss in a Unified U-Net
Phi Xuan Nguyen (Nanyang Technological University, Singapore); Zhongkang Lu, Weimin Huang and Su Huang (Institute for Infocomm Research, Singapore); Akie Katsuki (GE Healthcare Japan Corporation, Japan); Zhiping Lin (NTU, Singapore)
19:29 3D Inception U-Net for Aorta Segmentation using Computed Tomography Cardiac Angiography
Savitha Rani Ravichandran and Balaji Nataraj (National University of Singapore, Singapore); Su Huang (Institute for Infocomm Research, Singapore); Zhiliang Qin (Data Storage Institute, Singapore); Zhongkang Lu (Institute for Infocomm Research, Singapore); Akie Katsuki (GE Healthcare Japan Corporation, Japan); Weimin Huang (Institute for Infocomm Research, Singapore); Zeng Zeng (A*STAR, Singapore)
19:32 Image Identification of Animal Tumor Models for Human Breast Cancer Research
William ONeill (University of Illinois at Chicago, USA); Steven Penny, Jr (University of Illinois-Chicago, USA)
Presenter bio: Steven Penny is a graduate research assistant at the University of Illinois at Chicago. His research involves understanding human motor control in the context of reaching movements. He is working on using artificial neural networks to model the activity of biological neurons in the motor cortex.
19:34 Towards an Automatic Imaging Biopsy of Non-Small Cell Lung Cancer
Eleonora D'Arnese, Guido Walter Di Donato and Emanuele Del Sozzo (Politecnico di Milano, Italy); Marco D Santambrogio (Politecnico di Milano & MIT, Italy)
Presenter bio: Bachelor degree (2017) in Biomedical Engineering at Politecnico di Milano. Currently enrolled in Joint Master Degree program between Politecnico di Milano (Biomedical Engineering) and UIC (Bioengineering). Research interests: Bioinformatics, Computer Architectures, Machine Learning, Image Processing, IoT, Haptics.
19:37 An image informatics pipeline for imaging mass cytometry to characterize the immune landscape in pre- and on-treatment immune therapy and its application in recurrent platinium-resistant epithelial ovarian cancer
Ying Zhu (Houston Methodist Research Institute, USA); Tsz-Lun Yeung (The University of Texas MD Anderson Cancer Center, USA); Jianting Sheng (Houston Methodist Cancer Center, USA); Emily Hinchcliff, Jared Burks, Amir Jazaeri and Samuel Mok (The University of Texas MD Anderson Cancer Center, USA); Stephen Wong (Houston Methodist Cancer Center, USA)
Presenter bio: Dr. Ying Zhu is currently a postdoc fellow in the lab of Dr. Stephen T.C. Wong at the Houston Methodist Cancer Center. Ying received her PhD from the Quantitative and Computational Biosciences Program from Baylor College of Medicine in 2018 under the supervision of Dr. Fabrizio Gabbiani.
19:39 X-Ray Image Compression Using Convolutional Recurrent Neural Networks
Asif Shahriyar and Shakib Uz Zaman (Bangladesh University of Engineering and Technology, Bangladesh); Ahmed Imtiaz Humayun (Bangladesh University of Engineering and Technology & mHealth Research Group, Bangladesh); Taufiq Hasan and Mohammed Imamul Hassan Bhuiyan (Bangladesh University of Engineering and Technology, Bangladesh)
19:41 Applying translational medicine by Using the WELCOME Remote Monitoring System on Patients with COPD and Comorbidities
Nicos Maglaveras (Aristotle University of Thessaloniki, Greece)
19:44 A Knowledge Graph Approach for the Secondary Use of Cancer Registry Data
Georgia Tourassi (Oak Ridge National Laboratory, USA); S M Shamimul Hasan and C. Christian (Oak Ridge National Lab, USA); Donna Rivera (National Institutes ff Health, USA); Xiao-Cheng Wu (Louisiana Tumor Registry, USA)
Presenter bio: S.M.Shamimul Hasan is a Postdoctoral Research Associate at Oak Ridge National Laboratory (ORNL). Dr. Hasan is a member of the Biomedical Sciences, Engineering and Computing (BSEC) Group at ORNL. Dr. Hasan received his Ph.D. degree in Computer Science from Virginia Tech and graduated with an M.S. degree in Computer Science from West Virginia University (WVU). Dr. Hasan is interested in Data-Centric computing. He is doing interdisciplinary research in the areas of Big Data Management & Analytics, Semantic Web, Healthcare Informatics, and Scientific Digital Library.
19:46 Feature Exploration and Causal Inference on Mortality of Epilepsy Patients Using Insurance Claims Data
Yuanda Zhu and Hang Wu (Georgia Institute of Technology, USA); May Dongmei Wang (Georgia Tech and Emory Univ, USA)
Presenter bio: I am a PhD student of Electrical and Computer Engineering from Georgia Tech. I expect to graduate in May 2021. Advised by Prof. May D. Wang, I am working as a GRA at MIBLab, applying deep learning techniques on medical image processing and data-driven health informatics. For medical imaging, my research interest is weakly-supervised learning on whole-slide images. For health informatics, I prefer to topic on exploring the causal inference between diagnosis codes and non-diagnosis information (such as demographic, healthcare plan and payment) on the mortality consideration.
19:49 Non-Invasive Inference of Minute Ventilation Using Wearable ECG and Gaussian Process Regression
Ridwan Alam (University of Virginia, USA); David Peden (University of North Carolina, USA); Jiaqi Gong (University of Maryland Baltimore County, USA); John Lach (University of Virginia, USA)
Presenter bio: Ridwan Alam is a PhD student at the Link Lab in the University of Virginia. His research pursues intelligent sensing-based health applications. He applies wearable and IoT based cyber-physical systems, signal processing, interpretable machine learning, and predictive modeling for real-time tracking of human behavioral or physiological parameters in the real-world.
19:51 A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data
Zhenghua Chen (Institute for Infocomm Research, A*STAR, Singapore); Min Wu (Institute for Infocomm Research, Singapore); Jiyan Wu and Jie Ding (Institute for Infocomm Research, A*STAR, Singapore); Zeng Zeng (A*STAR, Singapore); Karl Surmacz (Mclaren Applied Technologies, Singapore); Xiaoli Li (Institute for Infocomm Research, Singapore)
19:53 Immersive Augmented Reality (I Am Real) - Remote Clinical Consultation
Qing Zhang and Mohanraj Karunanithi (CSIRO ICT Centre, Australia); Chansuk Kang (CSIRO, Australia)
19:56 Change Point Detection in Knee Acoustic Emissions using the Teager Operator: A Preliminary Study in Patients with Juvenile Idiopathic Arthritis
Beren Semiz and Sinan Hersek (Georgia Institute of Technology, USA); Daniel C Whittingslow (Emory University School of Medicine and Georgia Institute of Technology, USA); Lori Ponder and Sampath Prahalad (Emory University School of Medicine, USA); Omer T Inan (Georgia Institute of Technology, USA)
Presenter bio: Beren Semiz received her B.S. degree in electrical and electronics engineering from Koc University, Istanbul, Turkey in 2016 and her M.Sc. degree in electrical and computer engineering from Georgia Institute of Technology, Atlanta, GA, USA in 2018. Between 2016 and 2018 she was a Fulbright scholar and since 2016 she has been a graduate research assistant at Inan Research Lab, Georgia Institute of Technology. She is currently working towards her PhD degree in electrical and computer engineering. Her research interests include non-invasive wearable device design and applying signal processing and machine learning techniques on bio-medical signals to get clinically useful data.
19:58 An Architecture for Metadata-driven Integration of Heterogeneous Sensor and Health Data for Translational Exposomic Research
20:01 Detection of C-Reactive Protein using network - deployable DNA aptamer based optical nanosensor
Shreya Ghosh, Anna Metlushko, Shreya Chaudhry, Mitra Dutta and Michael Stroscio (University of Illinois at Chicago, USA)
20:03 A 0.5 nW Analog ECG Processor for Real Time R-wave Detection Based on Pan-Tompkins Algorithm
Cihan B. Güngör (University of California San Diego & San Diego State University, USA); Hakan Töreyin (San Diego State University, USA)
Presenter bio: Cihan Berk Güngör received the B.Sc. degree in Electronics and Communication Engineering from Istanbul Technical University, Turkey, in 2018. He is currently pursuing the Ph.D. degree in Electrical and Computer Engineering with both University of California San Diego and San Diego State University, San Diego, CA, USA. His research interests include the design of the R-peak detector for ECG signals and cardiac signal processors.
20:05 Concept for a Permanent, Non-Invasive Blood Pressure Measurement in the Ear
Jennifer Zeilfelder and Matthias Diehl (FZI Forschungszentrum Informatik, Germany); Christian Pylatiuk (Karlsruhe Institute of Technology (KIT), Germany); Wilhelm Stork (Karlsruhe Institute of Technology, Germany)
Presenter bio: Jennifer Zeilfelder studied mechanical engineering at the Karlsruhe Institute of Technology (KIT) with a focus on mechatronics and medical technology. Already in 2013, she began working as a student assistant at the FZI and gained expertise in the field of biosignal detection and processing. In her master thesis entitled "Development of a Concept for Continuous, Non-Invasive Blood Pressure Measurement in the Ear", which she also wrote at the FZI, she was able to realize her own idea. From September 2015 to May 2016 she was a scholarship holder and since June 2016 she has been working as a research assistant at FZI.
20:08 Estimating Berg Balance Scale and Mini Balance Evaluation System Test Scores by Using Wearable Shoe Sensors
Wenlong Tang (Novartis, USA); George Fulk and Stacey Zeigler (Clarkson University, USA); Ting Zhang (University of Houston Downtown, USA); Edward Sazonov (The University of Alabama, USA)
Presenter bio: Edward Sazonov received the Diploma of Systems Engineer from Khabarovsk State University of Technology, Russia, in 1993 and the Ph.D. degree in Computer Engineering from West Virginia University, Morgantown, WV, in 2002. Currently he is a Professor in the department of Electrical and Computer Engineering, the University of Alabama, Tuscaloosa, AL and the head of the Laboratory of Ambient and Wearable Systems.
20:10 Lung Nodule Classification Using Combined Deep and Spectral 3D Shape Features
Fereshteh S Bashiri (Marshfield Clinic Research Institute & University of Wisconsin-Milwaukee, USA); Jonathan C Badger (Marshfield Clinic Research Institute, USA); Roshan M D'Souza and Zeyun Yu (University of Wisconsin-Milwaukee, USA); Peggy Peissig (Marshfield Clinic Research Institute, USA)

Monday, May 20 20:15 - 21:45

Welcome Receptiongo to top

Meeting Room AB

Tuesday, May 21

Tuesday, May 21 8:00 - 8:45

Keynote Session 3go to top

Meeting Room AB

Keynote Speaker: Arun Jayaraman (Northwestern University): "Wearable Sensors, Smart Phones Machine Learning: Impact on Clinical Care and Clinical Trials"

Tuesday, May 21 8:50 - 10:20

BHI Session #5: Big Data & Machine Learning IIgo to top

Meeting Room AB
8:50 Utilizing Consumer-grade Wearable Sensors for Unobtrusive Rehabilitation Outcome Prediction
Gina Sprint (Gonzaga University, USA); Diane J. Cook (Washington State University, USA); Douglas Weeks (St. Luke's Rehabilitation Institute, USA); Jason Conci (Gonzaga University, USA)
9:05 Implementation of a batch normalized deep LSTM recurrent network on a smartphone for human activity recognition
Ertan Balaban and Alexander J Casson (The University of Manchester, United Kingdom (Great Britain))
Presenter bio: Ertan Balaban received the M.S. degree in Control and Automation Engineering from Istanbul Technical University, Istanbul, Turkey,in 2005 and the PhD. degree in Physics from Gebze Technical University, Kocaeli, Turkey, in 2013, respectively. Since 2013, he has been employed as a research associate at The University of Manchester, Manchester, U.K., conducting research on bio-electronics. His interests include low power circuit design, wearable electronic devices and signal processing.
9:20 Serverless Data Parallelization for Training and Retraining of Deep Learning Architecture in Patient-Specific Arrhythmia Detection
Amit Juneja and Michael Marefat (University of Arizona, USA)
9:35 Large-scale Classification of 12-lead ECG with Deep Learning
Yu-Jhen Chen, Chien-Liang Liu and Vincent S. Tseng (National Chiao Tung University, Taiwan); Yu-Feng Hu and Shih-Ann Chen (Taipei Veterans General Hospital, Taiwan)
Presenter bio: Chien-Liang Liu received the M.S. and Ph.D. degree in Department of Computer Science from National Chiao Tung University, Taiwan, in 2000 and 2005, respectively. He is currently an associate professor in Department of Industrial Engineering and Management at National Chiao Tung University, Taiwan. His research interests include machine learning, deep learning and data mining. He has several papers published in top journals, such as IEEE Transactions on Cybernetics, or top conferences, such as SIGKDD and ICDM. Before joining National Chiao Tung University, he had been working at Computational Intelligence Technology Center in Industrial Technology Research Institute, and got the best paper awards in 2014 and 2015. He was in charge of the development of recommender system as used in Taiwan momo shopping website. Currently, he mainly aims at applying machine learning to medical fields, such as liver transplantation, CKD, and cardiac arrhythmias.
9:50 Integrating word embedding neural networks with PubMed abstracts to extract keyword proximity of chronic diseases
Presenter bio: I am a Research Associate, proudly working at Mayo Clinic with deep passion for improving health informatics with better patient diagnosis, prognosis, and treatment using big multiple clinical data and novel computational algorithms.
10:05 Graph Kernel Prediction of Drug Prescription
Hao-Ren Yao, Der-Chen Chang and Ophir Frieder (Georgetown University, USA); Wendy Huang (Meng Cheng Family Medicine Clinic, Taiwan); Tian-Shyug Lee (Fu Jen Catholic University, Taiwan)
Presenter bio: Hao-Ren Yao is currently a third-year PhD student in Computer Science at Georgetown University under the supervision of Professor Ophir Frieder. His research interest includes health informatics, big data analytics, and machine learning in predictive model in health.

BHI Special Session #3: Genome Security & Privacygo to top

Meeting Room GH
8:50 Blockchain-based Privacy-preserving Predictive Modeling on Genomic/Healthcare Data
Tsung-Ting Kuo (University of California San Diego, USA); Lucila Ohno-Machado (University of California San Diego, La Jolla, California, USA; VA San Diego Healthcare System, La Jolla, California, USA)
Presenter bio: Dr. Tsung-Ting Kuo is an Assistant Professor of Medicine in University of California San Diego (UCSD) Health Department of Biomedical Informatics (DBMI). He earned his PhD from National Taiwan University (NTU) in Institute of Networking and Multimedia. Prior to becoming a faculty member, he was a Postdoctoral Scholar in UCSD DBMI and received the UCSD Chancellor's Outstanding Postdoctoral Scholar Award. He was a major contributor towards the UCSD DBMI team winning the Office of the National Coordinator for Health Information Technology (ONC) healthcare blockchain challenge, and also the NTU team winning the Association for Computing Machinery (ACM) Knowledge Discovery and Data Mining (KDD) Cup competition four times. He was awarded a NIH Pathway to Independence Award (Parent K99/R00) for a blockchain-based biomedical and healthcare study. His research focuses on blockchain technologies, machine learning, and natural language processing.
9:05 The prediction of human physical appearance from DNA: current & newly emerging traits
Susan Walsh (IUPUI, USA)
9:20 Homomorphic Encryption for Protecting Genome Privacy
Miran Kim (United States & University of Texas, Health Science Center at Houston, USA)
9:35 Inverse Regression for Extraction of Tumor Site From Cancer Pathology Reports
Abhishek K Dubey (Oak Ridge National Lab, USA); Hong-Jun Yoon and Georgia Tourassi (Oak Ridge National Laboratory, USA)
9:50 Quantification of sensitive information leakage from functional genomics data
Mark Gerstein (Yale University, USA)

Tuesday, May 21 10:20 - 10:40

Tuesday AM Coffee Breakgo to top

Meeting Room C

Tuesday, May 21 10:40 - 11:25

Keynote Session 4go to top

Meeting Room AB

Keynote Speaker: James L. Madara (American Medical Association): "The Future of Healthcare and Implications for Digital Health"

Tuesday, May 21 11:30 - 12:30

Lunch and Clinical/Translational panelgo to top

Meeting Room AB

Tuesday, May 21 12:30 - 14:00

BHI Session #6: Medical Imaging Igo to top

Meeting Room DE
12:30 Automated cell stage predictions in early mouse and human embryos using convolutional neural networks
Jonas E Malmsten (Weill Cornell Medicine & Pace University, USA); Nikica Zaninovic, Qiansheng Zhan and Zev Rosenwaks (Weill Cornell Medicine, USA); Juan Shan (Pace University, USA)
Presenter bio: Jonas Malmsten has been developing software systems for the health care industry for over 20 years - creating workflows and integrating laboratory equipment with medical records to increase efficiency and patient safety. In recent years, there has been an increasing demand for improving processes using machine learning and artificial intelligence, but there is a gap between production and research models. One of Jonas' goals is to bring this new technology into production.
12:45 Augmenting Frame-based with Window-based Features for C. elegans Movement Classification
Jennifer R Piane and Yiyang Wang (DePaul University, USA); Timothy Cheung and Hongkyun Kim (Rosalind Franklin University, USA); Jacob Furst and Daniela Raicu (DePaul University, USA)
13:00 GLCM-CNN: Gray Level Co-occurrence Matrix based CNN Model for Polyp Diagnosis
Jiaxing Tan (City University of New York, the Graduate Center, USA); Weiguo Cao, Yongfeng Gao and Marc Pomeroy (The State University of New York at Stony Brook, USA); Shu Zhang (Research Postdoc, USA); Zhengrong Liang (The State University of New York at Stony Brook, USA); Yumei Huo and Lihong Li (CUNY College of Staten Island, USA)
13:15 Investigating the Impact of Genetic Background on Brain Dynamic Functional Connectivity Through Machine Learning: A Twins Study
Muhammad Aabubakar Yamin (University of Genova & Istituto Italiano di Tecnologia, Italy); Michael Dayan (Istituto Italiano di Tecnologia, Genova, Italy); Letizia Squarcina (Scientific Institute IRCCS “E. Medea”, Bosisio Parini, Italy); Paolo Brambilla (Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Italy); Vittorio Murino (University of Verona, Italy); Vaibhav Diwadkar (Wayne State University, USA); Diego Sona (Istituto Italiano di Tecnologia, Italy)
13:30 Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data
Bo Peng (Indiana University, USA); Xiaohui Yao (University of Pennsylvania, USA); Shannon Risacher and Andrew Saykin (Indiana University School of Medicine, USA); Li Shen (University of Pennsylvania, USA); Xia Ning (The Ohio State University, USA)
13:45 Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation
Zhao Ziyuan and Zhang Xiaoman (National University of Singapore, Singapore); Cen Chen (Hunan University, P.R. China); Li Wei (Huazhong University of Science & Technology, P.R. China); Peng Songyou and Jie Wang (I2R, Singapore); Xulei Yang (Yitu, Singapore); Le Zhang (I2R, Singapore); Zeng Zeng (A*STAR, Singapore)

BHI Special Session #4: Wearable Sensor Informatics for Cardiopulmonary Monitoringgo to top

Meeting Room GH
12:30 Blood Pressure Tracking with Wearable Wrist Ballistocardiography
Peyman Yousefian and Sungtae Shin (University of Mayland, USA); Azin Mousavi (Amirkabir University of Technology, Iran); Chang-Sei Kim (Chonnam National University & School of Mechanical Engineering, Korea); Barry Finegan (University of Alberta, Canada); M Sean McMurtry (University of Alberta, USA); Rama Mukkamala (Michigan State University, USA); Dae-Geun Jang (Korea Advanced Institute of Science and Technology, Korea); Byung-hoon Ko (Samsung Advanced Institute of Technology, Korea); Jongwook Lee (SAIT, Korea); Uikun Kwon (Samsung Electronics, Korea); Youn Ho Kim (SAIT, Korea); Jin-Oh Hahn (University of Maryland, USA)
12:45 Toward Remote Congestive Heart Failure Management using Calf Bioimpedance Measurements
Maggie Delano and Ke Wang (Swarthmore College, USA); Charles Sodini (Massachusetts Institute of Technology, USA)
Presenter bio: Dr. Delano is an assistant professor of engineering at Swarthmore College. Her research involves the development of wearable medical devices for monitoring patients with chronic diseases. Her current project focuses on fluid overload monitoring for patients with Congestive Heart Failure using calf bioimpedance measurements.
13:00 A Mixed-Filter Algorithm for Arousal Tracking from Galvanic Skin Response and Heart Rate Measurements
Dilranjan Wickramasuriya and Rose T. Faghih (University of Houston, USA)
13:15 Smartphone Blood Pressure Monitoring
Anand Chandrasekhar and Keerthana Natarajan (Michigan State University, USA); Chang-Sei Kim (Chonnam National University, Korea); Mohammad Yavarimanesh and Mohhammed Naji (Michigan State University, USA); Jin-Oh Hahn (University of Maryland, USA); Rama Mukkamala (Michigan State University, USA)
Presenter bio: Gradute Student from Michigan State University
13:30 Wearable Seismocardiography for Human Health and Performance
Mobashir Shandhi (Georgia Tech, USA); Mozziyar Etemadi and J. Alex Heller (Northwestern University, USA); Liviu Klein and Joanna Fan (University of California, San Francisco, USA); Sinan Hersek and Omer T Inan (Georgia Institute of Technology, USA)
13:45 Robust Heart Rate Variability and Interbeat Interval Detection Algorithm in the Presence of Motion Artifacts
Ayca Aygun and Roozbeh Jafari (Texas A&M University, USA)

Tuesday, May 21 14:00 - 14:15

Tuesday PM Coffee Breakgo to top

Meeting Room C

Tuesday, May 21 14:15 - 15:45

Keynote Session 5go to top

Meeting Room AB

Keynote Speakers: Susan Tousi (Vice President of Product Development at Illumina, Inc.) David Duffy (Quanterix Corporation): "The use of single molecule detection technologies to define molecularly the continuum from health to disease"

Tuesday, May 21 15:45 - 19:00

Rapid Fire Session #2 & Poster Session #2go to top

Meeting Room AB
15:45 Rescue Carbohydrate Suggestion Algorithm for Physical Activity in Type-1 Diabetes
Mert Sevil, Iman Hajizadeh, Mudassir Rashid and Sediqeh Samadi (Illinois Institute of Technology, USA); Mohammad Reza Askari (400 E. 33rd Street & Illinois Institute of Technology, USA); Ali Cinar (Illinois Institute of Technology, USA)
15:46 Psychological Stress Detection Using Photoplethysmography
Mert Sevil and Mudassir Rashid (Illinois Institute of Technology, USA); Mohammad Reza Askari (400 E. 33rd Street & Illinois Institute of Technology, USA); Sediqeh Samadi, Iman Hajizadeh and Ali Cinar (Illinois Institute of Technology, USA)
15:48 Leveraging Wearable Physical Activity Trackers to Improve Glucose Predictions for Personalized Medicine
Mert Sevil, Iman Hajizadeh, Mudassir Rashid, Zacharie Maloney, Sediqeh Samadi and Rachel Brandt (Illinois Institute of Technology, USA); Mohammad Reza Askari (400 E. 33rd Street & Illinois Institute of Technology, USA); Nicole Hobbs (Illinois Institute of Technology, USA); Minsun Park and Laurie Quinn (University of Illinois at Chicago, USA); Ali Cinar (Illinois Institute of Technology, USA)
15:50 Mobile Application for Automated Insulin Delivery with Integrated Physical Activity Sensors
Caterina Lazaro, Mudassir Rashid, Mert Sevil, Iman Hajizadeh and Jeremy Hajek (Illinois Institute of Technology, USA); Erdal Oruklu (IIT, USA); Ali Cinar (Illinois Institute of Technology, USA)
15:51 Predicting Patients Vulnerable to Short-Term Readmission
Minjung Kim and Sara Tabtabai (UConn School of Medicine, USA)
15:53 Proposal of Health Index Measurement Using RGB Video Images
YU Ochiai (University of Ritsumeikan, Japan); Taiki Fujita (Ritsumeikan University, Japan)
15:55 BESI-C: Behavioral and Environmental Sensing and Intervention for Cancer
James A Hayes and Ridwan Alam (University of Virginia, USA); Nutta Homdee (University of Virginia & Link Lab, USA); John Lach, Virginia LeBaron and Katherine Gordon (University of Virginia, USA)
Presenter bio: James Hayes is a second year graduate student at the University of Virginia currently perusing an MS in Electrical Engineering in the lab of Professor John Lach. His work focuses on the development of in home Smart Health technologies. He is also a 2017 graduate of Washington and Lee University.
15:56 Clustering single cell RNA-seq data using sparse autoencoders for dimension reduction
Shang Gao, Derek Reiman and Yang Dai (University of Illinois at Chicago, USA)
15:58 Chronic Kidney Disease Stage Classification from Renal Artery Doppler Image
Chun-Wei Hsieh (National Taiwan Ocean University, Taiwan); Munkhjargal Gochoo (National Taiwan Ocean University, Taiwan & Mongolian University of Science and Technology, Mongolia); Chien-Hung Lee and Yung-Chih Chen (Chang-Gung Memorial Hospital, Taiwan)
16:00 Development of Supporter for Tennis Elbow Prevention Using Viscoelasticity Component
Kazuma Fukuhara and Shima Okada (Ritsumeikan University, Japan); Masaaki Makikawa (College of Science and Engineering, Ritsumeikan University, Japan)
Presenter bio: I will graduate from Ritsumeikan University in March 2019. I will enroll in Ritsumeikan University Graduate School in April 2019. I study on biotechnology.
16:02 Virtual-Interviewer: A Conversational Agent Designed to Facilitate Cognitive Health Screening in Older Adults
Shahla Farzana and Natalie Parde (University of Illinois Chicago, USA)
Presenter bio: This is Shahla Farzana. I am a graduate research assistant working in the Natural Language Processing laboratory under the supervision of Dr. Natalie Parde at University of Illinois Chicago. I have had my BSc in Computer Science and Engineering from Bangladesh University of Engineering and Technology.
16:03 Ballistocardiographic estimation of cardiac ejection curve for heartbeat detection
Moein Enayati (University of Missouri, Columbia, USA); Marjorie Skubic (University of Missouri, USA); Nasibeh Zanjirani Farahani (University of Missouri, Columbia, USA)
16:05 Opinions and Awareness Regarding the Use of Virtual and Augmented Reality Technologies in Healthcare
Parisis Gallos (National and Kapodistrian University of Athens, Greece); Charalabos Georgiadis (Aristotle University of Thessaloniki, Greece); Joseph Liaskos (National and Kapodistrian University of Athens, Greece); John Mantas (Health Informatics & IMIA, Greece)
16:07 CrowdHEALTH Project: Big Data Analytics Combined with Holistic Health Records for Healthcare Policy Making
Parisis Gallos (European Federation for Medical informatics, Lausanne, Switzerland); Serge Autexier (DFKI, Germany); Athanasios Kiourtis and Dimosthenis Kyriazis (University of Piraeus, Greece); Mitja Lustrek (Jozef Stefan Institute, Slovenia); Ilias Maglogiannis (University of Piraeus, Greece); John Mantas (European Federation for Medical informatics, Lausanne, Switzerland); Argyro Mavrogiorgou (University of Piraeus, Greece); Andreas Menychtas (BioAssist S.A., Greece); Vassilis Plagianakos (NOHS (EOPYY), Greece)
16:08 Circadian rhythm Estimation Using Smart Wear
Hazuki Masuda, Junshi Inoue, Shima Okada and Naruhiro Shiozawa (Ritsumeikan University, Japan); Masaaki Makikawa (College of Science and Engineering, Ritsumeikan University, Japan)
Presenter bio: I will be in the 4th grade in College of Science and Engineering from April. My major is biomedical engineering.
16:10 A Multimodal Deep Learning Framework for Influential Feature Selection and Prediction of Antigen Glycosylation
Saisubramaniam Gopalakrishnan (National University of Singapore & Institute for Infocomm Research, ASTAR*, Singapore); Venkata Krishnan Venkateswara (National University of Singapore, ASTAR*, Singapore); Jingyi Liao (National University of Singapore, A*STAR, Singapore); Songyou Peng, Zhang Le, Swan Ho Ying and Zeng Zeng (A*STAR, Singapore)
16:12 Two-stage pneumonia detection through object detection and patch classification
Sin Teo (Institute for Infocomm Research, Singapore); Yiling Chong (National University of Singapore, Singapore); Zeng Zeng (A*STAR, Singapore)
16:13 Bone Age Assessment based on Finger joint Localization
Zhang Xiaoman and Zhao Ziyuan (National University of Singapore, Singapore); Cen Chen (Hunan University, P.R. China); Le Zhang and Peng Songyou (I2R, Singapore); Min Wu (Institute for Infocomm Research, Singapore); Zhongyao Cheng (I2R, Singapore); Sin Teo (Institute for Infocomm Research, Singapore); Zeng Zeng (A*STAR, Singapore)
16:15 Monitoring Kinetic Estimated Glomerular Filtration Rate is Associated with Improved Vancomycin Dosing to Target
16:17 SmartDiagnostics: A Mobile Application for the Monitoring and Management of Movement Disorders
Aparimit Chandra, Renos Zabounidis, Karine Tung and Hee-Tae Jung (University of Massachusetts Amherst, USA); Jean-Francois Daneault (Rutgers University, USA); Sunghoon Ivan Lee (University of Massachusetts, USA)
Presenter bio: Hee-Tae Jung is a PhD candidate with College of Information and Computer Sciences, University of Massachusetts Amherst. His research goal is to maximize the overall quality of rehabilitation service through technology-assisted therapies.
16:19 Power Spectral Change of EEG by Pink Noise Presentation
Taiki Fujita (Ritsumeikan University, Japan)
16:20 Use of the Fitbit for Free-Living Heart Rate Monitoring
Sophia Frohna (Northern Arizona University, USA); Greg Dominick (University of Delaware, USA); Kyle Winfree (Northern Arizona University, USA)
Presenter bio: Undergraduate student at Northern Arizona University, working towards a BS in Informatics with an emphasis in Bioinformatics.
16:22 Heart Rate Estimation from Wristband Photoplethysmography
Mohammad Reza Askari (400 E. 33rd Street & Illinois Institute of Technology, USA); Mudassir Rashid, Mert Sevil, Iman Hajizadeh, Sediqeh Samadi and Ali Cinar (Illinois Institute of Technology, USA)
16:24 A Novel Personalized Method for Detecting MNA in Smartphone PPG Signals
Fatemehsadat Tabei and Jo Woon Chong (Texas Tech University, USA)
Presenter bio: Jo Woon Chong received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from the Korea Advanced Institute of Science and Technology, Daejeon, South Korea, in 2002, 2004, and 2009, respectively. From 2010 to 2012, he was a Postdoctoral Fellow at the Wireless Communications and Network Science Laboratory (WINSLab) at the Massachusetts Institute of Technology (MIT), Cambridge, MA. He was a Research Assistant Professor at the Worcester Polytechnic Institute, Worcester, MA from 2012 to 2016. Since 2016, he has been an Assistant Professor at the Texas Tech University, Lubbock, TX, USA. His current research interests include biomedical signal processing, non-invasive physiological monitoring, sensors and wireless communication for medical care, machine learning techniques for healthcare data, and home monitoring of health and disease. Dr. Chong is currently an Editor of Information & Communications Technology (ICT) Express and served as a Guest Editor of the Sensors, Special Issue on Sensors for Biosignal Processing in 2018. He received the Best Paper Runner-Up Award in IEEE Body Sensor Networks Conference in 2013, the Best Paper Award in IEEE VTS Asia Pacific Wireless Communications Symposium in 2010, and the Best Paper Award in Next Generation PC International Conference in 2005.
16:25 A multimodal sensor fusion platform for objective assessment of motor states in Parkinson's disease
Mevludin Memedi (Örebro University, Sweden); Somayeh Aghanavesi (Dalarna University, Sweden); Filip Bergquist (Gothenburg University, Sweden); Dag Nyholm and Marina Senek (Uppsala University, Sweden)
16:27 A Novel Parallel Lattice Boltzmann Method on Large Scale Medical Image Segmentation
Fei Ge (INSA Lyon, France); Guy Courbebaisse (Institut National des Sciences Appliquées de Lyon, France)
Presenter bio: Fei GE, received the M.Sc. degrees in Naval Architecture and Ocean Engineering from Northwestern Polytechnical University, Xi'an, China. He is currently an Ph.D candidate of medical image segmentation of medical image processing in Laboratory CREATIS from Institut National des Sciences Appliquées de Lyon, France. His research interest is image segmentation and analysis.
16:29 Design and Development of Low-Cost Arduino-Based Electromyography for Home-Based Post-Stroke Rehabilitation
Idongesit Ekerete (Ulster University, United Kingdom (Great Britain)); Andrew Kerr (University of Strathclyde, United Kingdom (Great Britain))
16:30 Unobtrusive Measurement of Upper Extremity Velocity During Post-Stroke Rehabilitation Exercises
Oonagh Giggins (Dundalk Institute of Technology, Rep. of Ireland, Ireland); Matias Garcia-Constantino (Ulster University, United Kingdom (Great Britain)); Chris Nugent and James Mclaughlin (University of Ulster, United Kingdom (Great Britain)); Idongesit Ekerete (Ulster University, United Kingdom (Great Britain))
16:32 Unobtrusive Monitoring of Home-Based Post-Stroke Rehabilitation Exercises Using Heterogeneous Sensors
Idongesit Ekerete (Ulster University, United Kingdom (Great Britain)); Oonagh Giggins (Dundalk Institute of Technology, Rep. of Ireland, Ireland); Ian Cleland (Ulster University, United Kingdom (Great Britain)); Chris Nugent and James Mclaughlin (University of Ulster, United Kingdom (Great Britain))
16:34 A Fusion Approach for Automated Surgical Skill Assessment
Krittameth Teachasrisaksakul (Imperial College London, United Kingdom (Great Britain)); Surapa Thiemjarus and Sanparith Marukatat (National Electronics and Computer Technology Center, Thailand); Guang-Zhong Yang (Imperial College London, United Kingdom (Great Britain)); Benny Lo (Imperial College, United Kingdom (Great Britain))
16:36 Estimation of Total Body Water using Bioelectrical Impedance Analysis
Mst Farzana Khatun (Rajshahi University of Engineering & Technology, Bangladesh); Tahasin Ahmed Fahim (Rajshahi University of Enginnering & Technology, Bangladesh); Sajib Sen (University of Memphis, USA); Md Sohel Rana (Rajshahi University of Engineering & Technology, Bangladesh)
16:37 Linear Regression Models for Extracellular Fluid Measurement Based on Bioelectrical Impedance Analysis
Mst Farzana Khatun (Rajshahi University of Engineering & Technology, Bangladesh); Tahasin Ahmed Fahim (Rajshahi University of Enginnering & Technology, Bangladesh); Sajib Sen (University of Memphis, USA); Md Sohel Rana (Rajshahi University of Engineering & Technology, Bangladesh)
16:39 Mathematical Models for Intracellular Fluid Measurement Based on Bioelectrical Impedance Analysis
Mst Farzana Khatun (Rajshahi University of Engineering & Technology, Bangladesh); Tahasin Ahmed Fahim (Rajshahi University of Enginnering & Technology, Bangladesh); Sajib Sen (University of Memphis, USA); Md Sohel Rana (Rajshahi University of Engineering & Technology, Bangladesh)
16:41 Studying MCI to AD Conversion Radiomics-Based Survival Indexes by Machine Learning
Jorge Andres Orozco (Tecnologico de Monterrey, Mexico); Jose Tamez-Peña (Tecnológico de Monterrey, Mexico)
16:42 Personalised Monitoring and Recommendation Services for At-Risk Individuals Employing Machine-Learning and Decision Support
Konstantinos Perakis (UBITECH, Greece); Sotiris Kousouris (Suite5, Greece); Stamatis Pitsios and Dimitris Miltiadou (UBITECH, Greece); George Bikas (Suite5, Greece)
16:44 Feasibility of Early Prediction of Heart Failure in Critically-ill Patients using Tele-ICU Data
Patrick Essay and Vignesh Subbian (University of Arizona, USA); Baran Balkan (The University of Arizona, USA)
16:46 E-BAP: A scalable and flexible web-based software system to support self-management for behavior changes
Jannatul Ferdause Tumpa, Daniel Pinto and Riddhiman Adib (Marquette University, USA); Steven Cole (Renaissance School of Medicine at Stony Brook University, USA); Sheikh Ahamed (Marquette University, USA)
16:47 The Quantification of Accelerometer Noise Experienced During Wrist Motion
Surya Sharma and Adam Hoover (Clemson University, USA)
Presenter bio: PhD Candidate at Clemson University
16:49 Omega-3 Fatty Acid Treatment to Cortical Neurons after Mechanical Injury and Neuroprotective Characterization with Spatial Light Interference Microscopy
Darnella Cole (The University of West Alabama, USA); Jorge Maldonado and Catherine Best (University of Illinois at Urbana Champaign, USA)
16:51 A Reference Architecture for Predicting Resilience Levels of Women with Breast Cancer
Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece); Konstadina Kourou (Institute of Molecular Biology and Biotechnology, FORTH-IMBB, Greece); Haridimos Kondylakis and Lefteris Koumakis (Computational Biomedicine Laboratory, FORTH-ICS, Greece); Georgios C. Manikis (Foundation for Research and Technology, Greece); Kostas Marias (FORTH, Greece); Manolis Tsiknakis (FORTH/ TEI CRETE, Greece); Panagiotis Simos (School of Medicine, University of Crete, Greece); Evangelos Karademas (University of Crete, Greece)
Presenter bio: Prof. Dimitrios I. Fotiadis received the Diploma degree in chemical engineering from the National Technical University of Athens, Athens, Greece, in 1985, and the Ph.D. degree in chemical engineering and materials science from the University of Minnesota, Minneapolis, in 1990. He is currently a Professor of Biomedical Engineering in the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece, where he is also the Director of the Unit of Medical Technology and Intelligent Information Systems, and is also an Affiliated Member of Foundation for Research and Technology Hellas, Institute of Molecular Biology and Biotechnology, Dept. of Biomedical Research and member of the board of the Michailedion Cardiology center. He was a Visiting Researcher at the RWTH, Aachen, Germany, and the Massachusetts Institute of Technology, Boston. He has coordinated and participated in more than 200 R&D funded projects especially in the field of ehealth. He is the author or coauthor of more than 230 papers in scientific journals, 400 papers in peer-reviewed conference proceedings, and more than 40 chapters in books. He is also the editor or coeditor of 20 books. He has received more than 7200 citations. He is a senior member of IEEE, member of IEEE Technical Committee of information Technology in Healthcare, an Associate Editor in the journals IEEE Transactions on Information Technology and Computers in Biology and Medicine and Receiving Editor of Biomedical Signal Processing and Control. His research interests include multiscale modeling of human tissues and organs, intelligent wearable devices for automated diagnosis and data processing and integration of Medical services.
16:53 Effect of Nuclear Confinement and Polymer Rigidity on Formation of Chromosome Interactions and Chromosome Territory
Samira Mali, Alan Perez-Rathke and Jie Liang (University of Illinois at Chicago, USA)
16:54 Mobile App for Advanced Prediction on Causal Chain of Death
Yuanda Zhu, Ryan Hoffman, Hung Vo and Kyla Qi (Georgia Institute of Technology, USA); May Dongmei Wang (Georgia Tech and Emory Univ, USA)
Presenter bio: I am a PhD student of Electrical and Computer Engineering from Georgia Tech. I expect to graduate in May 2021. Advised by Prof. May D. Wang, I am working as a GRA at MIBLab, applying deep learning techniques on medical image processing and data-driven health informatics. For medical imaging, my research interest is weakly-supervised learning on whole-slide images. For health informatics, I prefer to topic on exploring the causal inference between diagnosis codes and non-diagnosis information (such as demographic, healthcare plan and payment) on the mortality consideration.
16:56 Knowledge-Guided Data Analytics for Determining Causal Chains of Death
Ying Sha and Hang Wu (Georgia Institute of Technology, USA); May Wang (Georgia Institute of Technology and Emory University, USA)
16:58 Tensor-based Brain Network Embedding in a Transdiagnostic Psychiatric Cohort
Paul J Thomas (University of Illinois at Chicago, USA); Bokai Cao (Facebook, Inc, USA); Philip Yu, Alex Leow, K. Luan Phan and Olusola Ajilore (University of Illinois at Chicago, USA)
16:59 Convolutional Neural Networks Based Random Projections Method with Application to EEG Prediction Tasks
Kartik Ahuja (University of California Los Angeles, USA); Mai Tran (UCLA, USA)
17:01 Development of a Functional Health Index for Older Adults using the Electronic Health Record
Anup Mishra (University of Missouri, Columbia, USA); Marjorie Skubic (University of Missouri, USA); Laurel A Despins (University of Missouri, Columbia, USA); Mihail Popescu, Marilyn Rantz and James Keller (University of Missouri, USA); Kari Lane (University of Missouri, Columbia, USA)
Presenter bio: Anup K. Mishra received the Bachelor of Technology degree in electrical and communication engineering from Biju Patnaik University of Technology, Odisha, India, in 2011 and the M.S. degree in computer engineering from University of Missouri, Columbia, MO, USA, in 2015. He is currently a Ph.D. student in the Center for Eldercare and Rehabilitation Technology at the University of Missouri, Columbia, MO, USA. His research interests include machine learning, pattern recognition and computer vision.
17:03 Stochastic Analysis of Nucleation Process of HIV-1 Capsid Protein by Solving Discrete Chemical Master Equation Using ACME
Farid Manuchehrfar and Jie Liang (University of Illinois at Chicago, USA)
17:04 Effects of Sizes and Shapes on Wound Healing Through Purse-String Mechanism
Pourya Delafrouz (University of Illinois at Chicago, USA); Jieling Zhao (Institut National de Recherche en Informatique et en Automatique, France); Wei Tian and Jie Liang (University of Illinois at Chicago, USA)
17:06 Transferability of Deep Learning Based Sleep Apnea Detection Models
Tom Van Steenkiste and Dirk Deschrijver (Ghent University - imec, Belgium); Tom Dhaene (Ghent University & IMEC, Belgium)
17:08 Bayesian Optimization of MRI k-Space Trajectories
Tom Van Steenkiste (Ghent University - imec, Belgium); Jan Aelterman (Ghent University-IMEC & IMEC, Belgium); Hiep Q Luong (Ghent University - IMEC, Belgium); Dirk Deschrijver (Ghent University - imec, Belgium); Tom Dhaene (Ghent University & IMEC, Belgium)
17:10 Predicting Blood Pressure Response to Sleep Apnea Treatment
Chirag Agarwal (University of Illinois at Chicago, USA); Elan Schonfeld (Glenbrook North High School, USA); Dan Schonfeld (University of Illinois, Chicago, USA); Babak Mokhlesi (University of Chicago, USA); Bharati Prasad (UI Health Sleep Sciences Center, USA)
Presenter bio: Chirag Agarwal received his B.Tech in Electronics and Communication engineering from Future Institute of Engineering and Management, Kolkata, India in 2012. Currently, he is a Ph.D. Candidate in the department of Electrical and Computer engineering at University of Illinois at Chicago. His current research interests are in Computer Vision, Deep Learning, and Adversarial Machine Learning.
17:11 Estimation of Sleep Stage by Head Motion
Motoki Yoshihi and Shima Okada (Ritsumeikan University, Japan); Masaaki Makikawa (College of Science and Engineering, Ritsumeikan University, Japan); Teruaki Nochino (Osaka University, Japan)
Presenter bio: I will graduate from Ritsumeikan University in March 2019. I will enroll in Ritsumeikan University Graduate School in April 2019. I study on biotechnology
17:13 Promoting Patient Engagement Through Personalized Hospital-Stay Summaries
17:15 Pervasive Sensing of Distress using Wearable Devices for People with Dementia
Joseph Howes, Zhaoyang Wang, Jian Zhan, Hanxiao Zhang and Yingnan Sun (Imperial College London, United Kingdom (Great Britain)); Benny Lo (Imperial College, United Kingdom (Great Britain))
17:16 DeepSGUS: Fully convolutional neural network for semantic segmentation of Primary Sjögren's syndrome affected salivary glands from ultrasonography images
Arso Vukicevic (University of Kraguejvac, Serbia); Milos Radovic (BioIRC, Serbia); Alen Zabotti (Azienda Ospedaliero Universitaria Santa Maria Della Misericordia di Udine, Italy); Vera Milic (Institute of Rheumatology, School of Medicine University of Belgrade, Serbia); Salvatore De Vita (Udine University, Italy); Nenad Filipovic (University of Kragujevac, Serbia)
17:18 Our smeared FE model for electrophysiology coupled with heart muscle mechanics
Milos Kojic (Bioengineering Research and Development Center BioIRC, Serbia); Miljan Milosevic (Bioengineering Research and Development Center BioIRC & Metropolitan University Belgrade, Serbia); Vladimir Simic, Bogdan Milicevic and Vladimir Geroski (Bioengineering Research and Development Center BioIRC, Serbia); Nenad Filipovic (University of Kragujevac, Serbia)
17:20 Three-dimensional numerical analysis of atherosclerosis development within carotid artery
Smiljana Djorovic (Bioengineering Research and Development Center (BioIRC), Serbia); Igor Saveljic (Bioengineering Research and Development Center, BioIRC, Serbia); Nenad Filipovic (University of Kragujevac, Serbia)
17:21 Numerical Simulation of Implantation of Stent Within Artery with Deformable Wall
Tijana Djukic and Igor Saveljic (Bioengineering Research and Development Center, BioIRC, Serbia); Gualtiero Pelosi and Oberdan Parodi (Institute of Clinical Physiology, National Research Council, Pisa, Italy); Nenad Filipovic (University of Kragujevac, Serbia)
17:23 Numerical analysis of two hip implant surfaces
Aleksandra Vulovic (Faculty of Engineering, University of Kragujevac, Serbia); Nenad Filipovic (University of Kragujevac, Serbia)
17:25 Development of a Microwave Imaging System with Applications in Medical Imaging and Treatment of Cancer Patients
Nesreen Alsbou and Joshua Branscum (University of Central Oklahoma, USA); Imad Ali (University of Oklahoma Health Sciences Center, USA)
17:27 Bladder Volume Estimation by Electrical Impedance Measurement with Fewer Electrodes Using Linear Regression
Shuhei Noyori, Hiroshi Noguchi, Taketoshi Mori and Hiromi Sanada (The University of Tokyo, Japan)
17:28 Preliminary Modeling of the Kinetics of Photoplethysmogram Changes Following Non-Invasive Vagus Nerve Stimulation
Asim H Gazi, Nil Z Gurel and Kristine Scott (Georgia Institute of Technology, USA); Matthew T Wittbrodt (Emory University, USA); Amit J Shah and Viola Vaccarino (Rollins School of Public Health, USA); Douglas Bremner (Emory School of Medicine, USA); Omer T Inan (Georgia Institute of Technology, USA)
17:30 Participative app for citizen to assess health risks and increase pollution awareness
Manuel Ottaviano (Universidad Politecnica de Madrid, Spain); Jose G. Terius-Padron (Universidad Politecnica de Madrid & Life Supporting Technologies, Spain); Sergio Gonzalez-Martinez (Universidad Politecnica de Madrid, Spain); Gloria Cea (Universidad Politécnica de Madrid, Spain); Maria Fernanda Cabrera-Umpierrez and Maria Teresa Arredondo (Life Supporting Technologies; Technical University of Madrid, Spain); Sergio Guillén (Ronda Auguste y Louis Lumiere, Spain)
17:32 Integrating population data in a computerized Decision Support System for Head and Neck Cancer
Laura Lopez-Perez, Liss Hernández González and Laura Pfaff (Universidad Politécnica de Madrid, Spain); Annalisa Trama and Gemma Gatta (Fondazione IRCCS - INT, Italy); Silvia Francisci and Sandra Mallone (Instituto Superiore di Sanità, Italy); Elena Martinelli (Azienda Ospedaliero-universitaria di Parma, Italy); Ana Ugena (Universidad Politécnica de Madrid, Spain); Stefano Cavalieri (Fondazione IRCCS - INT, Italy); Lisa Licitra (Fondazione IRCCS - INT & University of Milan, Italy); Maria Fernanda Cabrera-Umpierrez and Maria Teresa Arredondo (Life Supporting Technologies; Technical University of Madrid, Spain); Sergio Guillén (Ronda Auguste y Louis Lumiere, Spain); Giuseppe Fico (Universidad Politécnica de Madrid, Spain)
17:33 Development and validation of algorithms for remote motor therapy in Parkinson' disease
Patricia Abril-JImenez (Universidad Politecnica de Madrid, Spain); Javier Rojo Lacal and Samanta Villanueva Mascato (Universidad Politécnica de Madrid, Spain); Silvia de los Rios (Universidad Politecnica de Madrid, Spain); Maria Fernanda Cabrera-Umpierrez and Maria Teresa Arredondo (Life Supporting Technologies; Technical University of Madrid, Spain); Fabricio Basso (Universidad Nacional de Mar del Plata, Spain)
17:35 Validation of a Food Image Classifier Based on the Top 50 Consumed Foods from the What We Eat in America Survey
Jenna Kim (University of Washington, USA); Shuhao Lin (University of Illinois at Chicago, USA); Giannina Ferrara (Institute of Health Metrics and Evaluation, USA); Jenna Hua (Stanford Prevention Research Center & Stanford University, USA); Edmund Seto (University of Washington, USA)
Presenter bio: Dr. Seto is Associate Professor in the School of Public Health at the University of Washington. His research involves the quantification and characterization of human exposures to environmental hazards using novel sensor and modeling approaches.
17:37 Rapid Detection of Heart Rate Fragmentation and Cardiac Arrhythmias: Cycle-by-cycle analysis using rr, Supervised Machine Learning Model, RR Statistical Analysis, and Novel Insights
Ananya Rajagopalan (Redmond HS, USA); Marcus Vollmer (University Medicine Greifswald, USA)
17:38 Topological Characterization of High Dimensional Probability Landscapes and Their Dynamical Changes
Wei Tian (University of Illinois at Chicago, USA); Hubert Wagner and Herbert Edelsbrunner (Institute of Science and Technology Austria, Austria); Jie Liang (University of Illinois at Chicago, USA)
17:40 Predicting Personalize Lung Healthiness Risk Scores to Identify Probability of an Asthma Attack
Quan Do, Alexa Doig and Son Tran (New Mexico State University, USA)
Presenter bio: I am Quan Do. I am currently an interdisciplinary PHD candidate in computer science and nursing. My research interests are Epidemiology study research, database, big data, information systems, and health informatics.
17:42 Physics-Based Modeling of Arterial Hemodynamics in Humans: Tapered versus Uniform Tube-Load Models
Azin Mousavi and Ali Tivay (University of Maryland, USA); Rama Mukkamala (Michigan State University, USA); Barry Finegan (University of Alberta, Canada); M Sean McMurtry (University of Alberta, USA); Jin-Oh Hahn (University of Maryland, USA)
17:44 ALL-ResNet: White Blood Cancer Microscopic Images Classification with Deep Neural Network
Quan Liu and Shuxiang Zhu (Case Western Reserve University, USA); Huan Chen (CWRU, USA); Haotian Jiang, Xiaoye Qian and Ming-Chun Huang (Case Western Reserve University, USA)
17:45 Melanoma Image Segmentation via Multiple Random Walker Approach
Golnoush Asaeikheybari (Case Western Reserve University, USA); Justin Green (CWRU, USA); Xiaoye Qian, Haotian Jiang and Ming-Chun Huang (Case Western Reserve University, USA)
17:47 Kidney Tomosynthesis with Point-by-point Back Projection
Allison McMinn and Ying Chen (Southern Illinois University Carbondale, USA)
17:49 Robust Continuous Heart Rate Estimation Using Neck Photoplethysmography During Physiological Interventions
Karam Choi, HyunSeok Moon, Seung Keun Yoon, Soyoung Lee, Eui Seok Shin, Byung-hoon Ko, Uikun Kwon and Sung Hyun Nam (Samsung Advanced Institute of Technology, Samsung Electronics)
Presenter bio: - bMajor: Interdisciplinary Program of Bioengineering, Seoul National University (Ph.D.) - Current: Samsung Advanced Institute of Technology, Samsung Electronics, South Korea
17:50 Quantification of Hemodynamic Responses to Diuretic Changes in Patients with Heart Failure using Ballistocardiogram and Electrocardiogram Recordings
Beren Semiz (Georgia Institute of Technology, USA); Mobashir Shandhi (Georgia Tech, USA); Joanna Fan (University of California, San Francisco, USA); Sean Dowling (University of California San Francisco, USA); Liviu Klein (University of California, San Francisco, USA); Omer T Inan (Georgia Institute of Technology, USA)
Presenter bio: Beren Semiz received her B.S. degree in electrical and electronics engineering from Koc University, Istanbul, Turkey in 2016 and her M.Sc. degree in electrical and computer engineering from Georgia Institute of Technology, Atlanta, GA, USA in 2018. Between 2016 and 2018 she was a Fulbright scholar and since 2016 she has been a graduate research assistant at Inan Research Lab, Georgia Institute of Technology. She is currently working towards her PhD degree in electrical and computer engineering. Her research interests include non-invasive wearable device design and applying signal processing and machine learning techniques on bio-medical signals to get clinically useful data.
17:52 Smartphone Blood Pressure Monitoring
Anand Chandrasekhar and Keerthana Natarajan (Michigan State University, USA); Chang-Sei Kim (Chonnam National University, Korea); Mohammad Yavarimanesh and Mohhammed Naji (Michigan State University, USA); Jin-Oh Hahn (University of Maryland, USA); Rama Mukkamala (Michigan State University, USA)
Presenter bio: Gradute Student from Michigan State University
17:54 Conventional Pulse Transit Times as Markers of Blood Pressure
Keerthana Natarajan and Mohammad Yavarimanesh (Michigan State University, USA); Robert Block (University of Rochester, USA); Andrew Carek (Georgia Tech, USA); Junxi Zhu (University of Maryland, USA); Giovanni Schifitto (University of Rochester, USA); Omer T Inan (Georgia Institute of Technology, USA); Jin-Oh Hahn (University of Maryland, USA); Rama Mukkamala (Michigan State University, USA)
17:55 Correction to the Bramwell-Hill Equation for Changes in Arterial Cross-Sectional Area
Mohammad Yavarimanesh and Anand Chandrasekhar (Michigan State University, USA); Jin-Oh Hahn (University of Maryland, USA); Rama Mukkamala (Michigan State University, USA)
17:57 Theoretical Analysis of the Maximum Slope Algorithm for Oscillometric Blood Pressure Estimation
Anand Chandrasekhar, Mohammad Yavarimanesh and Rama Mukkamala (Michigan State University, USA)
Presenter bio: Gradute Student from Michigan State University
17:59 The 10 Most Important Features in Predicting Depression from Content of Retrospectively Harvested Text Messages
Monica L. Tlachac and Elke Rundensteiner (Worcester Polytechnic Institute, USA)
18:01 Effect of short-term sling exercise with whole body vibration recovery on heart rate and lactic acid level variability
Hyun Ji Woo (Chonbuk National University, Korea)
Presenter bio: she graduated from the Department of Biomedical Engineering at Chonbuk National University in Korea and is currently attending a master's degree in healthcare engineering.
18:02 Chromosomal Architecture on Oncogenic Loci and Mutations in Non-coding Region
Lin Du, Alan Perez-Rathke and Jie Liang (University of Illinois at Chicago, USA)
18:04 Sleep Stage Estimation Using Smart Wear
Hirotaka Matsumoto, Shima Okada and Naruhiro Shiozawa (Ritsumeikan University, Japan); Masaaki Makikawa (College of Science and Engineering, Ritsumeikan University, Japan)
Presenter bio: I will graduate from Ritsumeikan University Faculty of Science and Engineering in March 2019. I will enroll in Ritsumeikan University Graduate School in April 2019. The research content is estimation the sleep stage using the electrocardiogram.
18:06 Machine Learning-based Fluid Intake Activity Recognition Using Wearable Sensor
Hsiang-Yun Huang, Chia-Yeh Hsieh and Kai-Chun Liu (National Yang-Ming University, Taiwan); Steen J. Hsu (Ming Hsin University of Science and Technology, Taiwan); Chia-Tai Chan (National Yang-Ming University, Taiwan)
Presenter bio: Chia-Yeh Hsieh received the B.S. degree from the Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan, in 2010. She is currently pursuing the Ph.D. degree with the Department of Biomedical Engineering, National Yang-Ming University, Taipei. Her research interests include exercise-cognition interaction, fall detection, activity recognition, and indoor positioning.
18:07 Convolutional Neural Networks for Breast Ultrasound Image Segmentation
Presenter bio: Dr. Juan Shan joined Pace University in August 2013. She is currently an Assistant Professor in the Department of Computer Science. Prior to joining Pace, she was an Assistant Professor in the Department of Mathematics and Computer Science at Benedictine College from 2011 to 2013. Her primary research interest is medical image processing and computer-aided diagnosis.
18:09 Bone Segmentation in 3D Knee MRI Images Using U-Net
Tomer Alon and Juan Shan (Pace University, USA); Maolin Zhang (Hopewell Valley Central High School, USA); Joe Delvecchio and Ming Zhang (Wentworth Institute of Technology, USA)
Presenter bio: Dr. Juan Shan joined Pace University in August 2013. She is currently an Assistant Professor in the Department of Computer Science. Prior to joining Pace, she was an Assistant Professor in the Department of Mathematics and Computer Science at Benedictine College from 2011 to 2013. Her primary research interest is medical image processing and computer-aided diagnosis.
18:11 Using Virtual Reality Game Environments to Empathize and Care for Patients Diagnosed with Schizophrenia
Sudhanshu Semwal (University of Colorado, Colorado Springs, USA); Abhishek Chepe and Deborah Pina-Thomas (University of Colorado Colorado Springs, USA)
18:12 ESP: Euclidean Spheres Packing Implementation for Volume Data Using Slicer3D
Sudhanshu Semwal (University of Colorado, Colorado Springs, USA); Anod Alhazmi (University of Colorado at Colorado Springs, Colorado, USA)
18:14 Comparison of MR Elastography data from the mouse brain using single-frequency algebraic inversion and MDEV inversion
Shreyan Majumdar and Dieter Klatt (University of Illinois at Chicago, USA)
18:16 Classifying Impaired Awareness of Hypoglycemia with Convolutional Neural Networks
18:18 Assessment of Hand Movement Efficiency in a Rehabilitation Game
Mengxuan Ma (University of Missouri - Columbia, USA); Teresa Tang (David H. Hickman High School, Columbia, MO, USA); Haiyan Hu and Rachel Proffitt (University of Missouri - Columbia, USA); Marjorie Skubic (University of Missouri, USA)
Presenter bio: I'm a PhD student from University of Missouri. My research area is stroke rehabilitation and computer vision.
18:19 Classification among AD, MCI, and Healthy Controls Using Relative EEG Powers Selected by Fisher Scores
Yi-Hung Liu (National Taipei University of Technology, Taiwan); Chia Fen Tsai (Taipei Veterans General Hospital, Taiwan); Chien-Te Wu (National Taiwan University, Taiwan); Chun-Hung Huang and Shih-Chun Hsieh (National Taipei University of Technology, Taiwan)
Presenter bio: Yi-Hung Liu received his Ph.D. degree in Mechanical Engineering from National Taiwan University, Taipei, Taiwan, in 2003. Currently, he is a Professor with the Institute of Mechatronic Engineering, National Taipei University of Technology, Taipei, Taiwan. His research interests are machine learning, brain-computer interface, neural engineering, and medical mechatronics. He is the author/co-author of more than 40 papers published in referred journals. Dr. Liu had served as the Guest Editor for many journals, such as the Special Issue on Cardiovascular System Monitoring and Therapy, IEEE Trans. Biomedical Circuits and Systems (TBioCAS) in 2018. Dr. Liu is a member of the IEEE. He is the co-chair of the Technical Committee on Medical Mechatronics of IEEE Systems, Man, and Cybernetic (SMC) Society. He was the recipient of the 2014 and 2018 Most Active Technical Committee Award of IEEE SMC Society.
18:21 Investigating Effects of Pressure Signal Characteristics on Hemodynamic Measurement Performance
Christopher G Scully and Hossein Mirinejad (US Food and Drug Administration, USA); Sandy Weininger (U.S. Food and Drug Administration & Center for Devices and Radiological Health, USA)
Presenter bio: Christopher Scully is a Research Biomedical Engineer at FDA in the Center for Devices and Radiological Health / Office of Science and Engineering Laboratories.
18:23 Detection algorithm for human gingival sulcus in cross section images by averaged intensity difference
Naresh Kumar Ravichandran, Hoseong Cho, Jaeyul Lee and Sangyeob Han (Kyungpook National University, Korea); Ruchire Eranga Wijesinghe (Kyungil University, Korea); Pilun Kim, Seung-Yeol Lee and Hee-Young Jung (Kyungpook National University, Korea); Joon Ki Kim (LIGNex1 Co., Ltd., Korea); Mansik Jeon (Kyungpook National Univerisity, Korea); Jeehyun Kim (Kyungpook National University, Korea)
18:24 Oscillations in the Feedback Gene Regulatory Motifs with Slow Promoter Dynamics
Anna Terebus (UIC, USA); Jie Liang (University of Illinois at Chicago, USA)
18:26 Using Electrodermal Activity for Automatic Posture Detection
Alec Steele and Mehrdad Nourani (University of Texas at Dallas, USA); Dennis Sullivan (University of Arkansas for Medical Sciences, USA)
18:28 How does gender innovation contribute to the analysis of elderly person's voice?
Jiyeoun Lee (Jungwon University, Korea)
18:29 CAVA: A System for Identifying Nystagmus
Jacob Newman (University of East Anglia, United Kingdom (Great Britain)); John Phillips (Norfolk & Norwich University Hospital & University of East Anglia, United Kingdom (Great Britain)); Stephen Cox (University of East Anglia, United Kingdom (Great Britain))
18:31 In Situ Assessment of Muscle Contusion Recovery with Ultrasound Image Textures and Quantitative Parameters
Da-Ming Huang, Zih-You Yu and Shyh-Hau Wang (National Cheng Kung University, Taiwan)
18:33 Using Autoencoders for Predicting Latent Microbiome Community Shifts Responding to Dietary Changes
Derek Reiman and Yang Dai (University of Illinois at Chicago, USA)
18:35 A Public Health Platform for Acquiring Contextual Longitudinal Data on the Affect, Behaviors, and Interactions of Populations
18:36 Population based screening for assessment of falls and mobility using wearable sensors
Barry R. Greene and Killian McManus (Kinesis Health Technologies, Ireland); Brian Caulfield (University College Dublin, USA)
Presenter bio: Barry Greene is Chief Technology officer and co-founder of Kinesis Health Technologies. At Kinesis, he is responsible for technical direction, research and development and regulatory affairs. He has significant expertise in healthcare technology, in particular the application of biomedical signal processing, machine learning and statistics. Prior to founding Kinesis in 2013, Barry spent 5 years at Intel, where he held a number of senior research and engineering positions, focused on data analysis, machine learning and signal processing. He has worked as a senior research fellow in University College Dublin, and as a postdoctoral fellow in University College Cork. Barry received the BE (Electronic) and PhD degrees from University College Dublin in 2003 and 2007 respectively. His doctoral thesis was entitled 'Quantification and Classification of Electrophysiological markers of seizure in the neonate'. Dr. Greene has authored or co-authored 31 internationally peer reviewed journal papers, 42 international conference papers and holds 8 US patents. He is a senior member of the IEEE and enjoys referring to himself in the third person.
18:38 Multi-scale investigation of relationship between inter-hemispheric cerebral perfusion asymmetry and carotid artery stenosis
Amir A Khan (George Mason University, USA); Jigar Patel (Imaging Service, VA Maryland Health Care System, Baltimore, Md, USA); Matthew Chrencik and Anthony Laila (University of Maryland School of Medicine, Baltimore, Md, USA); Nathaniel Woycke and Siddhartha Sikdar (George Mason University, USA); Brajesh Lal (University of Maryland School of Medicine, Baltimore, Md, USA)
18:40 Signal detection in extracellular neural ensemble recordings using higher criticism
Farzad Fathizadeh (Swansea University, United Kingdom (Great Britain)); Ekaterina Mitricheva, Rui Kimura and Nikos Logothetis (Max Planck Institute for Biological Cybernetics, Germany); Hamid R. Noori (Max Planck Institute for Biological Cybernetics & New York University, Germany)
Presenter bio: Hamid Noori received his PhDs in mathematics and physics from Universities of Heidelberg and Kaiserslautern and was honored with Venia Legendi from Heidelberg University. In 2008, he moved to Princeton University and focused his research on interface of experimental and theoretical neurosciences. Since 2016, he is the head of Neuronal Convergence group at Max Planck Institute for Biological Cybernetics. He is a Fellow of Humboldt foundation and an awardee of the Heidelberg Academy of Sciences. In 2018, he received the Ursula M. Händel Award of German Research Foundation (DFG) as well as the DGPPN award for excellence in research of psychiatric disorders.
18:41 An Infrastructure for a Natural Language-Driven Smartphone Healthcare Monitor and Advisor that uses Wearable Technologies
George Stefanek, Marianne Curia and Janet Garwood (Purdue University Northwest, USA)
Presenter bio: PhD Electrical Engineering, Illinois Institute of Technology MS Bioengineering, University of Illinois at Chicago BS Purdue University Assistant Professor in the Department of Computer Information Technology and Graphics at Purdue University Northwest
18:43 HoloTeacher: Teaching CPR with HoloLens Augmented Reality
Agnes Gruenerbl (DFKI, Germany); Hamraz Javaheri (German Research Center for Artificial Intelligence, Germany); Eloise Monger and Mary Gobbi (University of Southampton, United Kingdom (Great Britain)); Paul Lukowicz (DFKI and University of Kaiserslautern, Germany)
18:45 3D modeling of atherosclerosis progression in coronary arteries
Igor Saveljic (Bioengineering Research and Development Center, BioIRC, Serbia); Dalibor Nikolic (Bioengineering Research and Development Center, Serbia); Tijana Djukic (Bioengineering Research and Development Center, BioIRC, Serbia); Gualtiero Pelosi and Oberdan Parodi (Institute of Clinical Physiology, National Research Council, Pisa, Italy); Nenad Filipovic (University of Kragujevac, Serbia)
18:46 Parametric optimization of stent design based on FE analysis
Dalibor Nikolic (Bioengineering Research and Development Center, Serbia); Igor Saveljic (Bioengineering Research and Development Center, BioIRC, Serbia); Nenad Filipovic (University of Kragujevac, Serbia)
18:48 1-Norm: A novel image processing technique to investigate the influence of inhomogeneities on the scattering of mechanical waves in soft biological tissues
Harish Palnitkar, Rolf Reiter, Martina Guidetti, Shreyan Majumdar and Ramille Shah (University of Illinois at Chicago, USA); Thomas J Royston (851 South Morgan Street MC 063 & University of Illinois at Chicago, Richard and Loan Hill Departm, USA); Dieter Klatt (University of Illinois at Chicago, USA)
18:50 Clinical and Computational Comparison of Auscultatory Percussion for Alternative Detection Method of ACS
Bekah Allen, Jonathan Alcantar, Harish Palnitkar and Robert Molokie (University of Illinois at Chicago, USA); Thomas J Royston (University of Illinois at Chicago)
18:52 Signal Classification of Wearable Inertial Motion Sensor Data Using a Convolutional Neural Network
John D Ralston (Protxx, Inc, USA); Andreas Hauenstein and Joshua Roper (PROTXX, Inc., USA); Andreas Ralston (Protxx, Inc, USA)
18:53 Predictive modeling for disease management in distributed environments using incremental learning: a case study
Vasileios C. Pezoulas (University of Ioannina, Greece); Themis Exarchos (Institute of Molecular Biology and Biotechnology, FORTH, Greece); Athanasios Tzioufas (National and Kapodistrian University of Athens, Greece); Salvatore De Vita (Udine University, Italy); Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece)
18:55 Noninvasive Vagal Nerve Stimulation Effects on Anger Response
Nil Z Gurel (Georgia Institute of Technology, USA); Matthew T Wittbrodt (Emory University, USA); Amit J Shah and Viola Vaccarino (Rollins School of Public Health, USA); Omer T Inan (Georgia Institute of Technology, USA); Douglas Bremner (Emory School of Medicine, USA)
Presenter bio: Nil Gurel is a PhD candidate in the School of Electrical and Computer Engineering at Georgia Tech. Her research focuses on physiological modulation, monitoring, and active sensing.
18:57 A Deep Neural Network Based Method for Identifying Interaction between Compound and Protein
Fan Hu, Jiaxin Jiang, Jianye Zhang and Peng Yin (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, P.R. China)
18:58 DeLHCA: Deep transfer learning for high-content analysis of the effects of drugs on immune cells
Shaista Hussain and Ankit Das (Institute of High Performance Computing, Singapore); Binh P. Nguyen (Victoria University of Wellington, New Zealand); Mardiana Marzuki (Singapore Immunology Network, Singapore); Shuping Lin and Graham Wright (Skin Research Institute of Singapore, Singapore); Amit Singhal (Singapore Immunology Network, Singapore)
Presenter bio: Scientist at Institute of High Performance Computing, ASTAR, Singapore since Jan 2016 PhD in Electronics & Electrical Engg from NTU Singapore from Aug 2012 to Oct 2016 (defended) MS in Brain & Cognitive Sciences from University of Rochester, USA from Jan 2006 to March 2009 M.Tech. in Biomedical Engg from IIT Bombay, India from July 2002 to June 2004
19:00 Ultrasound Micro-Macro Parameter Based Breast Lesion Classification using GA Optimization and EMD-DWT
Navid Ibtehaj Nizam (Bangladesh University of Engineering and Technology, Bangladesh); Sharmin R. Ara (East West University, Bangladesh); Md. K. Hasan (Bangladesh University of Engineering and Technology, Bangladesh)
19:02 A Focused Caregiving Mobile App for Alzheimer's Patients
Nafees Qamar and Ning Lu (Governors State University, USA)
Presenter bio: Dr. Nafees Qamar leads the Health Informatics programs as the Program Director and tenure-track faculty in the Department of Health Administration at GSU. Dr. Qamar holds a Ph.D. in computer science from University Grenoble Alpes, France. Dr. Qamar's research and teaching interests include health informatics, and software and data security. He particularly investigates the applications of computing science in the areas of biomedical and health informatics and patient privacy. He has published several research articles in health informatics journals and conferences.

Wednesday, May 22

Wednesday, May 22 9:00 - 10:30

BHI Special Session #7: Decision-support computing by data-driven and AI-based approaches for healthcarego to top

Meeting Room DE
9:00 F-DIT-V: An Automated Video Classification Tool for Facial Weakness Detection
Presenter bio: I am a PhD student at University of Virginia and a member of Imaging and Data Science Lab under Prof. Gustavo Rohde guidance. My research is to build computer-vision-assisted diagnosis systems based on mathematical modeling of signal and image data, which crosses multiple disciplines from biomedical image analysis, computer vision, machine learning, cyber-physical system, to health informatics.
9:15 Extracting Most Impacting Emergency Department Patient Flow By Embedding Laboratory-confirmed and Clinical Diagnosis on The Stiefel Manifold
Guillaume Bouleux (University of Lyon, INSA Lyon, DISP, France); Vincent Cheutet and Clement Pealat (Univ Lyon, INSA-Lyon, DISP, France)
9:30 Machine Learning of Psychological Stress to Relate to Suicidal Ideation
Gen-Min Lin (Hualien Armed Forces General Hospital, Taiwan); Chin Lin (National Defense Medical Center, Taiwan)
Presenter bio: Dr. Lin is a cardiologist working at Hualien Armed Forces General Hospital and faimilar with cohort studies. He got his Ph.D degree from the EE Department of NDHU. He is familiar with signal analysis and big data analysis for biological signals such as ECG and PPG. He wants to combine the two specialties using ECG and/or PPG signals by wearable device to predict the clinical diseases in the future.
9:45 Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining
Presenter bio: Jidapa Thadajarassiri is a Ph.D. student at Worcester Polytechnic Institute. Her research focuses on text mining especially to support the medical domain.
10:00 Towards more personalized diabetes treatment
Sara Zulj and Goran Seketa (University of Zagreb, Croatia); Dominik Dzaja (University of Zagreb Faculty of Electrical Engineering and Computing, Croatia); Luka Celic, Igor Lackovic and Ratko Magjarevic (University of Zagreb, Croatia)

BHI Session #7: Medical Imaging IIgo to top

Meeting Room GH
9:00 Selecting the Mammographic-View for the Parenchymal Analysis Based Breast Cancer Risk Assessment
Oscar Araque and María Mejía-Sandoval (Universidad Industrial de Santander, Colombia); Antti Sassi, Kirsi Holli-Helenius, Anna-Leena Lääperi, Irina Rinta-Kiikka and Otso Arponen (Tampere University Hospital, Finland); Said Pertuz (Universidad Industrial de Santander, Colombia)
Presenter bio: S. Pertuz received the Master and PhD degrees on Computer Science at Rovira Virgili University (Spain) in 2009 and 2013, respectively. Between 2013 and 2018, he was a posdoctoral researcher at the Department of Radiology of the University of Pennsylvania (USA) and at the Department of Signal Processing of Tampere University (Finland). Currently, S. Pertuz is an assistant professor at the Electric and Electronics Department of Universidad Industrial de Santander (Colombia) where he leads the Connectivity and Signal Processing research group. His main interests include the development of image processing and computer vision techniques applied to quantitative medical image analysis for breast cancer risk assessment using different modalities including digital mammography, MRI and Tomosynthesis.
9:15 Classification before Segmentation: Improved U-Net Prostate Segmentation
Ronald J Nowling (Milwaukee School of Engineering, USA); John D Bukowy, Sean D Mcgarry and Andrew S. Nencka (Medical College of Wisconsin, USA); Oliver Blasko (Milwaukee School of Engineering, USA); Jay Urbain (Milwaukee School of Engineering & Medical College of Wisconsin, USA); Allison Lowman, Alexander Barrington, Anjishnu Banerjee, Kenneth A Iczkowski and Peter S LaViolette (Medical College of Wisconsin, USA)
Presenter bio: Ronald J. (RJ) Nowling is an assistant professor of Computer Science at the Milwaukee School of Engineering (MSOE), a primarily-undergraduate institution. RJ received his Ph.D. in Computer Science & Engineering from the University of Notre Dame and B.S. in Computer Science and Mathematics from Eckerd College. Between receiving his Ph.D. and starting at MSOE, RJ spent four years working on machine learning systems in industry settings. RJ's main research focus is the application of machine learning to population genetics and genomics of insect vectors.
9:30 Deep Learning for Assessing Image Focus for Automated Cervical Cancer Screening
Peng Guo and Sanjana Singh (National Institutes of Health, USA); Zhiyun Xue (National Library of Medicine, USA); Rodney Long and Sameer Antani (NIH, USA)
9:45 An Accurate and Efficient Instrument for Monitoring Chest Wall Therapy
Nahom Kidane and Mohammad F. Obeid (Old Dominion University, USA); Antarius Daniel, Robert Kelly and Robert Obermeyer (Children's Hospital of The King's Daughters, USA); Frederic McKenzie (Old Dominion University, USA)
10:00 An AI-based Framework for Supporting Large Scale Automated Analysis of Video Capsule Endoscopy
10:15 Speeding Up Resting State Networks Recognition via a Hardware Accelerator
Filippo Carloni (Politecnico di Milano, Italy); Giada Casagrande (Università di Pisa, Italy); Valentina Corbetta (Politecnico di Milano, Italy); Andrea Agostinelli (Imperial College London, United Kingdom (Great Britain)); Emanuele Del Sozzo and Luca Cerina (Politecnico di Milano, Italy); Marco D Santambrogio (Politecnico di Milano & MIT, Italy)
Presenter bio: 26 years old Research Assistant from Politecnico di Milano. He has a M.Sc in Biomedical Engineering, and his interests are cardiovascular signal processing, computer vision, neuromorphic and embedded systems.

Wednesday, May 22 10:30 - 11:15

Keynote Session 6go to top

Meeting Room AB

Keynote Speaker: Joshua A. Gordon (National Institute of Mental Health (NIMH)): "Opportunities and Challenges in Computational psychiatry"

Wednesday, May 22 11:15 - 11:30

Wednesday AM Coffee Breakgo to top

Meeting Room AB

Wednesday, May 22 11:30 - 12:30

Industrial and development panelgo to top

Meeting Room AB

Wednesday, May 22 12:30 - 13:30

Lunch and EIC Panelgo to top

Meeting Room AB

Wednesday, May 22 13:30 - 15:00

BHI Special Session #6: Medical Imaging Informatics - Advances and Trendsgo to top

Meeting Room DE
13:30 Current Challenges in Medical Imaging Informatics
Costantinos S. Pattichis (University of Cyprus, Cyprus); Andreas S. Panayides (University of Cyprus, Cyprus & University of New Mexico, USA); Amir Amini (Electrical and Computer Engineering & University of Louisville, USA); Nenad Filipovic (University of Kragujevac, Serbia); Ashish Sharma (Emory University, USA); Sotirios Tsaftaris (University of Edinburgh, United Kingdom (Great Britain)); Alistair Young (University of Auckland, Cyprus); David J Foran (195 Little Albany Street & Rutgers Cancer Institute of New Jersey, USA); Spyretta Golemati (National Kapodistrian University of Athens, Greece); Tahsin Kurc (Stony Brook University, USA); Andrew Laine (Columbia University, USA); Konstantina Nikita (National Technical University of Athens, Greece); Michalis Zervakis (Technical University of Crete, Greece); Joel Saltz (Stony Brook University, USA)
13:45 Pathomic Data and its Significance Beyond a Pathology Report
Joel Saltz (Stony Brook University, USA); Eric B. Durbin (University of Kentucky, USA); Tahsin Kurc (Stony Brook University, USA); David J Foran (195 Little Albany Street & Rutgers Cancer Institute of New Jersey, USA); Ashish Sharma (Emory University, USA); Dimitris Samaras (Stony Brook University, USA)
14:00 Computational Pathology and Integrative Genomics for Cancer Precision Medicine
Kun Huang (Indiana University School of Medicine & Regenstrief Institute, USA)
14:15 Exascale Deep Learning for Medical Image Analysis
Georgia Tourassi (Oak Ridge National Laboratory, USA)
14:30 Can Structural MRI Radiomics Predict DIPG Histone H3 Mutation and Patient Overall Survival at Diagnosis Time?
Jessica Goya-Outi (Inserm/CEA/CNRS/Univ Paris-Sud); Raphael Calmon (APHP, Necker Hospital, France); Fanny Orlhac (INRIA, France); Cathy Philippe (CEA, France); Nathalie Boddaert and Stéphanie Puget (APHP, Necker Hospital, France); Irène Buvat (Inserm/CEA/CNRS/Univ Paris-Sud); Vincent Frouin (CEA, France); Jacques Grill (Gustave-Roussy/CNRS, France); Frédérique Frouin (Inserm/CEA/CNRS/Univ Paris-Sud)

BHI Session #8: Behavioral & Sensor Informaticsgo to top

Meeting Room GH
13:30 Automatic Subtask Segmentation Approach of the Timed Up and Go Test for Mobility Assessment System Using Wearable Sensors
Chia-Yeh Hsieh, Hsiang-Yun Huang and Kai-Chun Liu (National Yang-Ming University, Taiwan); Kun-Hui Chen (Taichung Veterans General Hospital, Taiwan); Steen J. Hsu (Ming Hsin University of Science and Technology, Taiwan); Chia-Tai Chan (National Yang-Ming University, Taiwan)
Presenter bio: Chia-Yeh Hsieh received the B.S. degree from the Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan, in 2010. She is currently pursuing the Ph.D. degree with the Department of Biomedical Engineering, National Yang-Ming University, Taipei. Her research interests include exercise-cognition interaction, fall detection, activity recognition, and indoor positioning.
13:45 A Deep Learning Assisted Method for Measuring Uncertainty in Activity Recognition with Wearable Sensors
Ali Akbari and Roozbeh Jafari (Texas A&M University, USA)
14:00 Personalized Wellbeing Prediction using Behavioral, Physiological and Weather Data
Han Yu (Rice University, USA); Elizabeth Klerman (Harvard Medical School, Brigham and Women's Hospital, USA); Rosalind Picard (MIT Media Lab, USA); Akane Sano (Rice University, USA)
14:15 Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks
Terumi Umematsu (Massachusetts Institute of Technology, USA & NEC Corporation, Japan); Akane Sano (Rice University, USA); Sara Taylor and Rosalind Picard (MIT Media Lab, USA)
Presenter bio: Terumi Umematsu is a visiting scientist in the Affective Computing Group at the MIT Media Lab in US, and a senior researcher in NEC Company in Japan. Her research focuses on multi-modal human sensing using wearable sensors and mobile phones, data analysis and modeling for affective computing and wellbeing.
14:30 Non-Invasive In-Home Sleep Stage Classification Using A Ballistocardiography Bed Sensor
Ruhan Yi and Moein Enayati (University of Missouri, Columbia, USA); James Keller, Mihail Popescu and Marjorie Skubic (University of Missouri, USA)
14:45 Peak Detection Algorithm for Gait Segmentation in Long-Term Monitoring for Stride Time Estimation using Inertial Measurement Sensors
Markus Johannes Lueken (RWTH Aachen University, Germany); Steffen Leonhardt (RWTH Aachen, Germany); Chuong Ngo (RWTH Aachen University & Helmholtz-Institute for Biomedical Engineering, Germany); João Pedro Batista, Jr and Cornelius Bollheimer (RWTH Aachen University Hospital, Germany); Warner ten Kate (Philips Research, The Netherlands)

Wednesday, May 22 15:05 - 16:35

BHI Special Session #5: Internet of Things and Machine Learning for Health Informaticsgo to top

Meeting Room DE
15:05 Wearable Body Sensor Network
Lei Wang (Chinese Academy of Sciences, P.R. China)
15:20 Data driven connected care solutions for home disease management
Bin Yin (Philips Research China & Fudan University, P.R. China)
Presenter bio: Bin Yin, currently Principal Scientist at Philips Research China and part-time professor at Fudan University in Shanghai, has a Ph.D. in Electrical Engineering (Southeast University, Nanjing, China). After a 2-year post-doc program at Technology University of Eindhoven, The Netherlands, he joined Philips Research in Eindhoven and started his industrial research career in the field of optical disc storage. Since then he has been working on sensing and smart systems for various applications, such as healthy lifestyle changing programs, hospital and home patient monitoring, and home care for chronic disease patients. His current research interest covers various aspects of a connected care solution, including (wearable) monitoring technologies, disease risk models, behavioral analysis and patient engagement tactics.
15:35 Measuring eating behavior in patients with arm impairment after stroke using a smart plate
Gert Mertes (University of Oxford, P.R. China & KU Leuven, Belgium); Li Ding and Wei Chen (Fudan University, P.R. China); Hans Hallez (KU Leuven, Belgium); Jie Jia (Fudan University, P.R. China); Bart Vanrumste (KU Leuven, Belgium)
Presenter bio: Gert received his BSc and MSc in Electronics, Engineering, and Technology from KU Leuven, Belgium and subsequently joined the department of Electrical Engineering (ESAT) at KU Leuven for his PhD. His doctoral research focussed on sensor technology and machine learning techniques for the monitoring of ingestive behaviour in older adults via wearable devices. His research also saw the development of a novel sensor system for the detection of food bites during unrestricted eating, to be used by older adults in the prevention of malnutrition, and for prevention and treatment of obesity in young adults. Gert is currently a postdoctoral researcher with the Department of Engineering Science at the University of Oxford, based in the Oxford Suzhou Centre for Advanced Research (OSCAR) in Suzhou, China. Gert's research interests include machine learning for healthcare, biological signal processing, wearable devices, and remote patient monitoring.
15:50 Obstructive Sleep Apnea Classification in a Mixed-Disorder Elderly Male Population Using a Low-Cost Off-Body Movement Sensor
Pradyumna Byappanahalli Suresha and Ayse S Cakmak (Georgia Institute of Technology, USA); Giulia Da Poian (Emory University, USA); Amit J Shah (Rollins School of Public Health, USA); Viola Vaccarino, Donald Bliwise and Gari D Clifford (Emory University, USA)
Presenter bio: A third year PhD student at Georgia institute of Technology, Pradyumna Byappanahalli Suresha has experience in developing Machine Learning Techniques to solve problems in healthcare. Prior to joining Georgia Tech, Pradyumna completed his undergrad in Electronics and Communications Engineering from the National Institute of Technology Karnataka Surathkal in India.
16:05 Machine Learning Approaches on Gait Biometrics for Securing BSN-based Healthcare Systems
Yingnan Sun (Imperial College London, United Kingdom (Great Britain)); Po Wen Lo (Imperial College London & ICL, United Kingdom (Great Britain)); Benny Lo (Imperial College, United Kingdom (Great Britain))
16:20 Printed flexible and stretchable hybrid electronic systems for wearable applications
Wei Yuan (Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, P.R. China)

BHI Session #9: Clinical & Public Health Informaticsgo to top

Meeting Room GH
15:05 Predicting Cognitive Impairment Level after a Serious Game-based Therapy in Chronic Stroke Survivors
Hee-Tae Jung (University of Massachusetts Amherst, USA); Hyunsuk Lee (Woorisoft, Korea); Kwangwook Kim (Daegu University, Korea); Byeongil Kim (Woorisoft, Korea); Sungji Park, Taekyeong Ryu and Yangsoo Kim (Heeyeon Rehabilitation Hospital, Korea); Jean-Francois Daneault (Rutgers University, USA); Sunghoon Ivan Lee (University of Massachusetts, USA)
Presenter bio: Hee-Tae Jung is a PhD candidate with College of Information and Computer Sciences, University of Massachusetts Amherst. His research goal is to maximize the overall quality of rehabilitation service through technology-assisted therapies.
15:20 Topic modeling to discern irregular order patterns in unlabeled EHRs
Ozgur Ozmen, Hilda Klasky, Olufemi Omitaomu, Mohammed M. Olama, Teja Kuruganti and Laura Pullum (Oak Ridge National Laboratory, USA); Merry Ward, Jean Scott, Angela Laurio and Jonathan Nebeker (Veterans Administration, USA)
Presenter bio: OZGUR OZMEN is a Research Scientist in the Computational Sciences and Engineering Division at the Oak Ridge National Laboratory, Oak Ridge, TN. His research interests are Complex Adaptive Systems, Agent-based Simulation, Model-based Engineering, and bridging the gap between Simulation and Artificial Intelligence. He holds an Industrial Engineering degree from Yildiz Technical University in Istanbul, Master of Engineering Management degree from Galatasaray University in Istanbul, MISE, and Ph.D. Degrees (both in Industrial and Systems Engineering) from Auburn University in Alabama. His email address is ozmeno@ornl.gov.
15:35 Unpacking Prevalence and Dichotomy in qSOFA Parameters: A Step towards Multi-parameter Intelligent Sepsis Prediction in ICU
Nazmus Sakib (Marquette University); Devansh Saxena and Lin He (Marquette University, USA); Paul Griffin (Purdue University, USA); Sheikh Ahamed (Marquette University, USA); Munirul Haque (Purdue University, USA)
15:50 You're Making Me Depressed: Leveraging Texts from Contact Subsets to Predict Depression
Monica L. Tlachac, Ermal Toto and Elke Rundensteiner (Worcester Polytechnic Institute, USA)
16:05 Estimating Personal Resting Heart Rate from Wearable Biosensor Data
Chentian Jiang (Duke University, USA); Lida Faroqi and Latha Palaniappan (Stanford University, USA); Jessilyn Dunn (Duke University, USA)
16:20 Outside the Hospital Walls: Associations of Value Based Care Metrics and Community Health Factors
Catherine Markley, Keith Feldman and Nitesh Chawla (University of Notre Dame, USA)
Presenter bio: I am a Postdoctoral Researcher at the University of Notre Dame. My research explores how informatics can aid in understanding the abundance of health and wellness data available, the ways it can augment practitioner skillsets, and ultimately how it can advance knowledge around the practice and administration of healthcare.

Wednesday, May 22 16:40 - 17:40

Closing Ceremony, Best Paper, Best Poster Awardsgo to top

Meeting Room AB