For full submission instructions, visit https://www.bhi-bsn-2019.org
Program for 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Monday, May 20
Monday, May 20 8:15 - 8:30
Chancellor Michael D. Amiridis, Univ of Illinois at Chicago
Monday, May 20 8:30 - 8:45
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 1
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
BSN Session # 1 - Machine learning, deep learning and decision support algorithms
- 10:20 Surface-EMG based Wrist Kinematics Estimation using Convolutional Neural Network
- 10:40 Real-time Smartphone-based Sleep Staging using 1-Channel EEG
- Presenter bio: Abhay is a senior undergraduate student pursuing B.E(Hons.) Computer Science at BITS Pilani, India and a visiting student researcher at the Fluid Interfaces Group, MIT Media Lab, USA where he pursued his senior thesis on developing Brain Computer Interfaces for tracking sleep.
- 11:00 Hierarchical Active Learning for Model Personalization in the Presence of Label Scarcity
- 11:20 Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification
Monday, May 20 11:50 - 12:10
Monday AM Coffee Break
Monday, May 20 12:10 - 13:40
BSN Session # 2 - Biodegradable and flexible electronic sensing
- 12:10 Biodegradable Piezoelectric Sensor
- 12:30 Low-cost Foil based Wearable Sensory System for Chest Sound Analysis to Monitor Wheezing
- 12:50 Adjustable Passive RFID Skin Mounted Tag
- 13:10 Wireless Soft Hybrid Electronics for Safe and Effective Cardiac Monitoring in Pediatric Care
- Presenter bio: Dr. Yeo is a TEDx alumnus and biomechanical engineer. Currently, he is an Assistant Professor in the George W. Woodruff School of Mechanical Engineering and Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech. His research focuses on the areas of nano-/microengineering, advanced soft materials, molecular interactions, and bio-electromechanical systems, with an emphasis on flexible hybrid electronics. Dr. Yeo received his BS in mechanical engineering from INHA University, Korea in 2003 and received his PhD in mechanical engineering at the University of Washington, Seattle in 2011. From 2011-2013, he worked as a postdoctoral research fellow at the Beckman Institute and Frederick Seitz Materials Research Center at the University of Illinois at Urbana-Champaign. Dr. Yeo is a recipient of Samsung Global Research Outreach Award, BMES Innovation and Career Development Award, Finalist for Vilcek Prizes for Creative Promise, Virginia Commercialization Award and more.
Monday, May 20 13:40 - 14:40
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 2
Keynote Speaker: Ketan Paranjape (Roche Diagnostics Corporation): "Integrating And Presenting Patient Data For Personalized Cancer Healthcare"
Monday, May 20 15:35 - 17:05
BSN Session # 3 RF, Wireless Communication, Security and Privacy
- 15:35 A Channel Hopping Strategy Based on the Human Trajectory Similarity for WBANs
- 15:55 Upper-bound Performances of RFID Epidermal Sensor Networks at 5G Frequencies
- Presenter bio: His research is mainly directed to the modelling and design of broadband and ultra wideband (UWB) antennas and arrays as well as of sensor-oriented miniaturized antennas for BioEngineering, Aeronautics and Radiofrequency Identification (RFID). During the last decade, he carried out pioneering research on the wireless-activatedsensors, contributing to move from the labeling of objects to the passive sensor networks in the Internet of Things era. His lab designed and experimented the first battery-less RF sensors for deformation, temperature, humidity, gasses, implanted bio prosthesis, and human motion detection and classification, recovering of tactile feeling He is Associate Editor of the IEEE Journal of Radiofrequency Identification and member of the board committee of the IEEE Antennas and Propagation Society Awards.
- 16:15 A Wearable Wrist-Band with Compressive Sensing based Ultra-Low Power Photoplethysmography Readout Circuit
- Presenter bio: Parvez Ahmmed is currently pursuing the Ph.D. degree with the IBionics Lab, Department of Electrical and Computer Engineering at North Carolina State University, Raleigh, NC. His research interests include design of analog/mixed signal circuits and integration of low-power systems for biomedical applications.
- 16:35 Performance Comparison of Patch and Loop Antennas for the Wireless Power Transfer and Transcutaneous Telemetry in the 860-960 MHz Frequency Band
- Presenter bio: Carolina Miozzi received the M. Sc. degree in medical engineering from the University of Rome "Tor Vergata", in 2017, where she is currently pursuing the Ph. D. in Electronics Engineering. Her research interests include the study of on-body and through-the-body wireless antenna systems for smart health monitoring and detection of biophysical parameters. In particular, she is currently working on the development of a wireless transcutaneous communication system for the control of robotic limb prostheses, using EMG-sensors implanted subcutaneously.
Monday, May 20 17:05 - 17:25
Monday PM Coffee Break
Monday, May 20 17:25 - 20:15
Rapid Fire Session #1 & Poster Session #1
- A Finger-Worn Sensor Network for Monitoring the Real-World Performance of Stroke Survivors
- Weft Knit Smart Data Glove
- Presenter bio: Emmanuel Ayodele is currently a PhD candidate at the Institute of Robotics, Autonomous Systems and Sensing in the University of Leeds with his research focusing on the modelling and application of knitted sensors in motion capture. He completed his B.Eng. in Computer Engineering from Covenant University, Nigeria in 2015 and his MSc in Mechatronics and Robotics from University of Leeds in 2016.
- The validity of a mixed reality-based functional mobility assessment
- Presenter bio: Dr. Sun received his Ph.D. in Kinesiology and Human Movement Sciences, with minor in Statistics, from Indiana University Bloomington and MS in Mechanical Engineering from Stony Brook University. He is currently employed as a research scientist at Stanford University, where his research work focused on using wearable and novel technology for accurate mobility tracking and clinical data modeling in aging and clinical populations. He has authored over 20 scientific publications and has served as Ad-Hoc reviewer for over 10 professional journals. His work has been presented at numerous national and international conferences and has been cited for more than 100 times globally.
- Python-Integrated Wearable Research Platform for Fast Software Prototyping in Gait Retraining Applications
- A Low-Cost Wearable System to Estimate Free-Living 3D Ground Reaction Force
- Reliability and Validity of the Equivital EQ 02 Physiological Monitoring System
- Radial Pulse Detection Using SWR Bridge and RF Spiral Resonator
- Colorimetric Determination of Cortisol in Human Biofluid
- Egocentric vision and wearable sensors for capture and modification of eating behavior in the wild
- 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.
- Skin-inspired, Micromesh Elastomer for Breathable, Conformal Biosensor Integration
- Collagen/PDMS based composite for increased bio-fluid retention in wearable microfluidic devices
- A Non-invasive Wearable Readout System for Bio-fluid Phenomena Detection
- Assessing Individual Dietary Intake in Food Sharing Scenarios with a 360 Camera and Deep Learning
- Arterial Pulse Measurement with Wearable Millimeter Wave Device
- Presenter bio: Jessi Johnson received his Ph.D. in Electrical Engineering from the University of California, Davis in 2004 with a focus on microwave circuits, systems and devices. After graduation he spent 1.5 years as a postdoctoral researcher in the Radiation Oncology Department at the University of California, San Francisco, developing a microwave hyperthermia system for the treatment of chest wall recurrence of breast cancer. From 2005 to 2007 he was a Visiting Research Fellow at Nagasaki University, Japan, where he investigated new approaches for microwave-based tissue imaging for breast cancer detection. From 2007 to 2014 he developed high powered microwave antennas and systems for therapeutic applications in dermatology at Miramar Labs. Subsequently, he spent 2 years developing RF/microwave ablation technologies for cardiac applications at Advanced Cardiac Therapeutics. Currently, Jessi is a full-time consultant developing high frequency antennas and systems for a variety of medical applications at several start-up companies in Silicon Valley. He is a Senior Member of the IEEE and is active in the IEEE MTT Society.
- Roll-to-Roll processable OTFT-based Amplifiers and Application for pH sensing
- Correlating an Ambulatory Voice Measure to Electrodermal Activity in Patients with Vocal Hyperfunction
- Presenter bio: Dr. Gregory Ciccarelli enjoys merging statistical data analysis with computational modeling for translational impact in neuroscience and physiology. He received his undergraduate degree from the Pennsylvania State University and his graduate degrees from the Massachusetts Institute of Technology all in Electrical Engineering and Computer Science.
- Assessment of Chronic Pulmonary Disease Patients Using Biomarkers from Natural Speech Recorded by Mobile Devices
- Discriminative Information Added by Wearable Sensors for Early-Screening -- a Case Study on Diabetic Peripheral Neuropathy
- A Generative Model for Speech Segmentation and Obfuscation for Remote Health Monitoring
- A Deep Learning Approach on Gender and Age Recognition using a Single Inertial Sensor
Monday, May 20 20:15 - 21:45
Tuesday, May 21
Tuesday, May 21 8:00 - 8:45
Keynote Session 3
Keynote Speaker: Arun Jayaraman (Northwestern University): "Wearable Sensors, Smart Phones, and Machine Learning: Impact on Clinical Care and Clinical Trials"
Tuesday, May 21 8:50 - 10:20
BSN Special Sesssion: Automated Dietary Monitoring
- 8:50 A Novel Vision-based Approach for Dietary Assessment using Deep Learning View Synthesis
- 9:10 Towards a Fully Automatic Food Intake Recognition System Using Acoustic, Image Capturing and Glucose Measurements
- 9:30 A Comparison of Finger and Wrist Motion Tracking to Detect Bites during Food Consumption
Tuesday, May 21 10:20 - 10:40
Tuesday AM Coffee Break
Tuesday, May 21 10:40 - 11:25
Keynote Session 4
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 & Clinical/Translational panel
Tuesday, May 21 12:30 - 14:00
BSN Session # 5 - Medical and wellness applications from pre-natal health to elderly care
- 12:30 mLung: Privacy-Preserving Naturally Windowed Lung Activity Detection for Pulmonary Patients
- 12:50 Developing Computational Models for Personalized ACL Injury Classification
- 13:10 AttentivU: a Wearable Pair of EEG and EOG Glasses for Real-Time Physiological Processing
- 13:30 Adaptive Riemannian BCI for Enhanced Motor Imagery Training Protocols
Tuesday, May 21 14:00 - 14:15
Tuesday PM Coffee Break
Tuesday, May 21 14:15 - 15:45
Keynote Session 5
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 #2
- Monitoring of Posture and Activity Using Smart Wearable Concepts
- NFC-powered flexible chest patch for fast assessment of cardiovascular, hemodynamic and endocrine parameters (live demo)
- Feasibility study of heart rate monitoring from ankle PPG data
- 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.
- Estimation of Dining Plate Diameter From an Egocentric Image Sequence without Using a Fiducial Marker
- 3D Reconstruction of Dining Bowl for Image-Based Food Volume Estimation
- Studying the interplay of individual and contextual factors to physiological-based models of public speaking anxiety
- Exploring the Validity of Heart Rate Variability Measured by E4 Wristbands in Concussion Patients
- Design of a Smart Cushion Integrated with E-Textiles (Live Demo)
- Presenter bio: Dr. Mankodiya is an assistant professor of Biomedical Engineering in the Dept. of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA. He pursued his postdoctoral research at Intel Science & Technology Center affiliated with Carnegie Mellon University, Pittsburgh. He received Ph.D. degree in computer science from the University of Luebeck, Germany, with an emphasis on wearable health monitoring. He holds B.E. (Saurashtra University, India) and M.Sc. (University of Luebeck, Germany) degrees in Biomedical Engineering (BME). He has published a number of journal and conference articles and book chapters in the areas of BME, embedded computing, human-computer interaction, digital signal processing, and robotics. He has published a book on wearable health monitoring that serves as a hands-on guide to program high-end embedded processors for healthcare applications. His embedded design of a wearable ECG system based upon smart textiles has earned him the SYSTEX student award 2010, University of Ghent, Belgium. He is a member of IEEE, ACM, and Biomedical Engineering Society and serves in the professional society in various capacities, including technical program committees and scientific workshop organizations. He also serves as a reviewer for various journals and conference proceedings in the fields of Human-Machine Systems, Humanized Computing, Sensors, Internet-of-Things, and Pervasive Healthcare. He organizes Internet-of-Things Hack-a-Thons every year to promote entrepreneurship and startups in the area of IoT.
- E-Textile Glove Monitoring Finger and Hand Motion (Live Demo)
- Portable device for quantifying artery blood mobility towards early diagnosis of vascular disease
- Polyp Localization in Wireless Capsule Endoscopy Using Segmentation Network Trained with Colonoscopy Images and Coarse Labels
- Embedded Sensor System to Monitor Beverage Intake Type and Volume
- Remote Gait Analysis Using Wearable Sensors Detects Asymmetric Gait Patterns in Patients Recovering from ACL Reconstruction
- BigFoot: A Mobile Solution toward Foot Parameters Extraction
- EXTRA: Exercise Tracking and Analysis Platform for Remote-monitoring of Knee Rehabilitation
- Presenter bio: Migyeong Gwak is a Ph.D. student in Computer Science at the University of California, Los Angeles (UCLA), USA. Her ongoing doctoral research under the supervision of Professor Majid Sarrafzadeh is in the field of 'eHealth Analytics' where they build wearable and wireless system to collect data from human and apply analytic techniques to understand health information.
- Explore Correlation Between Body Balance and Perception using mHealth Technology
- A Wearable RFID System to Monitor Hand Use for Individuals with Upper Limb Paresis
- Robust Sensor-based Human Activity Recognition with Snippet Consensus Neural Networks
- Upper Limb Muscle Force Estimation During Table Tennis Strokes
- A Simulation-based Feasibility Study of a Proprioception-inspired Sensing Framework for a Multi-DoF Shoulder Exosuit
Wednesday, May 22
Wednesday, May 22 9:00 - 10:30
BSN Special Session: Body Sensor Networks and Machine Learning for Mental Health
Computational Psychophysiology Based Emotion Analysis for Mental Health
Prof Bin Hu - Lanzhou University, China
A Multi-Modal Body Sensor Network for Mental Disease Detection Based on Decision-Level Fusion Framework of Modular Structure
Prof Chen Wei - Fundan University, China
- A Multi-Modal Body Sensor Network for Mental Disease Detection Based on Decision-Level Fusion Framework of Modular Structure
- Cellphone Augmented Reality Game-based Rehabilitation for Improving Motor Function and Mental State after Stroke
Wednesday, May 22 10:30 - 11:15
Keynote Session 6
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 Break
Wednesday, May 22 11:30 - 12:30
Industrial and development panel
Wednesday, May 22 13:30 - 15:00
BSN Session # 6 - Mental health, Cognitive load and wellbeing
- 13:30 Assessing the Effects of Stress Response on Glucose Predictions
- 13:50 On-Body Monitoring of Voice-Based Cognitive Load Features in an Auditory Working Memory Task
- 14:10 Mobile Biofeedback Therapy for the Treatment of Panic Attacks: A Pilot Feasibility Study
- Presenter bio: Dr. Ryan McGinnis is an Assistant Professor in Electrical and Biomedical Engineering, the Director of the M-Sense Research Group, and the Assistant Director of the Biomedical Engineering Program at the University of Vermont. He earned his BS degree from Lafayette College in 2009 and his MS and PhD degrees from the University of Michigan in 2012 and 2013. Dr. McGinnis has led cross-disciplinary research teams at health technology start-ups and in academia to advance his translational research agenda which pairs innovations in wearable and mobile technologies with his expertise in biomedical signal processing, machine learning, biomechanics, and computational dynamics for the development and validation of novel digital biomarkers and therapeutics. In support of this research agenda, Dr. McGinnis has published nearly 90 peer-reviewed articles and has presented at national and international conferences. Many of his studies have been conducted with collaborators across a wide array of disciplines including neurology, physical therapy, mental health, and orthopedics. His work has been commercialized to form the heart of product offerings from seven companies, and he currently serves as a scientific advisor for several companies operating in the health technology space. His current efforts are focused on developing new digital therapeutics for improving the mobility and functional independence of individuals living with multiple sclerosis and Parkinson’s disease, optimizing orthopedic rehabilitation outcomes, and addressing mental health problems in children and young adults.
- 14:30 WristPress: Hand Gesture Classification with Two-array Wrist-Mounted Pressure Sensors