For full submission instructions, visit https://www.bhi-bsn-2021.org

Program for 2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

Berlin time Wednesday, July 28 Thursday, July 29 Friday, July 30
12:30 ‑ 13:00 Poster Session # 1 Poster Session # 3 Poster Session # 5
13:00 ‑ 14:00 BSN Special Session: Digital Biomarkers for Movement Disorders
BSN Special Session: Body-interfaced Flexible Sensors and Actuators: recent developments, challenges and opportunities
BSN Special Session: Advancements in Sensors, Algorithms and Clinical Trials for Non-invasive and Cuffless Blood Pressure Monitoring
BSN Session: Medical and Wellness Applications
BSN Special Session: Wearable Sensing for Detecting and Monitoring Shock
BSN Session: Novel Sensing Solutions for Long-Term Monitoring
14:00 ‑ 14:30 BSN Special Session: Body Sensor Networks in the era of pandemic
BSN Session: Monitoring Pulmonary Function Using Wearable Technology
Keynote Session 3 Keynote Session 5
14:30 ‑ 15:00 Keynote Session 4 Keynote Session 6
15:00 ‑ 15:05 Opening Welcome Break Break
15:05 ‑ 15:35 Keynote Session 1 Regulatory panel Industry panel
15:35 ‑ 15:55 BHI-BSN Roadmap: The Celebration
15:55 ‑ 16:05 Keynote Session 2
16:05 ‑ 16:10 Break Break
16:10 ‑ 16:25 BSN Special Session: Non-Contact Technologies for Pervasive Healthcare
BSN Special Session: Digital Biomarkers for Monitoring and Predicting Upper Limb Recovery After Stroke
BSN Special Session: Recent Advances in Wearable and Implantable Electronics and Circuits
BSN Special Session: Toward Artificial General Intelligence for Wearable Systems
16:25 ‑ 16:30 Break
16:30 ‑ 17:10 Clinical/Translational panel
17:10 ‑ 17:30 BSN Special Session: New Technologies for the Future of Prenatal Health
BSN Special Session: Wearable solutions for continuous, efficient and accurate lung monitoring for innovative diagnostics in lung related chronic diseases
BSN Special Session: Open-source algorithms and tools for accelerating adoption of wearable technology in clinical research
17:30 ‑ 18:00 Featured Session
18:00 ‑ 18:05 Break
18:05 ‑ 18:10 BSN Special Session: Body Sensor Network for Tele-Health Monitoring and Coaching
BSN Session: Machine Learning for the Analysis of Wearable Sensor Data
18:10 ‑ 18:40 Poster Session # 4 Keynote Session 7
18:40 ‑ 19:00   Closing Ceremony, Best Paper, Best Poster Awards
19:00 ‑ 19:05    
19:05 ‑ 19:35 Poster Session # 2    

Wednesday, July 28

Wednesday, July 28 12:30 - 13:00

Poster Session # 1

Digital health to support head and neck cancer survivors
Laura Lopez-Perez, Rebeca Isabel García-Betances and Juan Carlos Martin Guirado (Universidad Politécnica de Madrid, Spain); Aritz Bilbao (DEUSTO, Spain); Aitor Almeida (DeustoTech - Deusto Institute of Technology, Spain); Stefano Cavalieri (Fondazione IRCCS - INT, Italy); Despina Elizabeth Filippidou (R&D ICT Products DOTSOFT, SA, Greece); Anastasios Manos (Dotsoft SA, Greece); Elena Martinelli (Università degli Studi di Milano, Italy); Moises Sanchez (IBM Innovation Exchange. IBM Ireland Ltd, Spain); Piotr T. Poliwoda (IBM Innovation Exchange. IBM Ireland Ltd, Ireland); Franco Mercalli (MultiMed Engineers srls, Italy); Maria Fernanda Cabrera-Umpierrez and Maria Teresa Arredondo (Life Supporting Technologies; Technical University of Madrid, Spain); Lisa Licitra (Fondazione IRCCS - INT & University of Milan, Italy); Giuseppe Fico (Universidad Politécnica de Madrid, Spain)
Classification of Postures with Clothing-mounted Wearable Sensors
Udeni Jayasinghe, Balazs Janko, William S Harwin and Faustina Hwang (University of Reading, United Kingdom (Great Britain))

Wednesday, July 28 13:00 - 14:00

BSN Special Session: Digital Biomarkers for Movement Disorders

Chair: Federico Parisi (Harvard Medical School, USA & Spaulding Rehabilitation Hospital, USA)
Quantitative motor testing in rare movement disorders
Christopher D Stephen (Massachusetts General Hospital, Harvard Medical School, USA)
Wearable Computing, Machine Learning, and Biomechanical Modeling for Movement Disorder Research
Bjoern M Eskofier (Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany)
Cognitive-motor interference in the dual task paradigm
Jelena Curcic and Jennifer Sorinas (Novartis Institutes for Biomedical Research, Switzerland); Kristin Hannesdottir (Novartis Institutes for Biomedical Research, USA)
Detecting sensitive mobility features for Parkinson's disease stages via machine learning
Anat Mirelman (Sourasky Medical Center, Israel); Jeffrey M Hausdorff (Tel Aviv Medical Center, Israel)

BSN Special Session: Body-interfaced Flexible Sensors and Actuators: recent developments, challenges and opportunities

Chair: Hongliang Ren (NUS, Singapore)
Digitally-embroidered Liquid Metal Textiles for Near-field Wireless Body Sensor Networks
Rongzhou Lin, Han-Joon Kim, Sippanat Achavananthadith and John Ho (National University of Singapore, Singapore)
Kirigami strain sensing on balloon catheters with temporary tattoo paper
Jia Li, Godwin Ponraj, Bok Seng Yeow, Catherine Jiayi Cai and Kirthika Senthil Kumar (National University of Singapore, Singapore); Hongliang Ren (NUS, Singapore)
Soft self-powered body sensor networks for human posture and health monitoring
Wentao Dong (East China Jiaotong University, China); Lin Yang (Huazhong Agricultural University, China & New York University, USA); Giancarlo Fortino (University of Calabria, Italy)
Skin-interfaced soft strain sensors using printable conductive ink and radio frequency estimation
Godwin Ponraj, Catherine Jiayi Cai and Bok Seng Yeow (National University of Singapore, Singapore); Hongliang Ren (NUS, Singapore)

Wednesday, July 28 14:00 - 15:00

BSN Special Session: Body Sensor Networks in the era of pandemic

Chairs: Raffaele Gravina (University of Calabria, Italy), Ivan Lee (University of South Australia, Australia)
FaceMask: a Smart Personal Protective Equipment for Compliance Assessment of Best Practices to Control Pandemic
Raffaele Gravina (University of Calabria, Italy); Ruperto Alexander Lopez and Pablo F. Ordonez-Ordonez (Universidad Nacional de Loja, Ecuador)
A UWB Radar-based Approach of Detecting Vital Signals
Qimeng Li (University of Calabria, Italy); Jikui Liu (Shenzhen Institute of Advanced Technology, Chinese Academy Sciences, China); Raffaele Gravina (University of Calabria, Italy); Ye Li (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China); Giancarlo Fortino (University of Calabria, Italy)
The Use of Thermal Imaging and Deep Learning for Pulmonary Diagnostics and Infection Detection
Suzie Byun (Massachusetts Institute of Technology, USA); Bernardo Garcia Bulle Bueno (MIT, USA); Yogesh Gupta (Gandhi Medical College, India); Nagesh Dhadge (Central Health Services, India); Shrikant Pawar (Chest Research Foundation, India); Rahul Kodgule (Chest Research Foundatiob, India); Richard Fletcher (MIT, USA)
Multi-band Implantable Microstrip Antenna on Large Ground Plane and TiO2 Substrate
Lida Kouhalvandi (Istanbul Technical University, Turkey); Ladislau Matekovits (Politecnico di Torino, Italy); Ildiko Peter (George Emil Palade University, Targu-Mures, Romania)
CardioTEXTIL: Wearable for Monitoring and End-to-End Secure Distribution of ECGs
Georg Bramm (Fraunhofer AISEC, Germany); Matthias Hiller (Fraunhofer Institute for Applied and Integrated Security AISEC, Germany); Christian Hofmann (Fraunhofer-Institut für Integrierte Schaltungen, Germany); Stefan Hristozov (Fraunhofer Institute for Applied and Integrated Security AISEC, Germany); Maximilian Paul Oppelt (Fraunhofer Institute for Integrated Circuits IIS, Germany); Norman Pfeiffer (Fraunhofer Institute for Integarted Circuits IIS, Germany); Martin Striegel (Fraunhofer AISEC, Germany); Matthias Struck (Fraunhofer Institute for Integrated Circuits, Germany); Dominik Weber (Fraunhofer Institute for Integrated Circuits IIS, Germany)

BSN Session: Monitoring Pulmonary Function Using Wearable Technology

Chairs: Canan Dagdeviren (Massachusetts Institute of Technology, USA), Ivan Lee (University of South Australia, Australia)
CoughBuddy: Multi-Modal Cough Event Detection Using Earbuds Platform
Ebrahim Nemati (Samsung Research America, USA); Shibo Zhang (Northwestern University, USA); Tousif Ahmed (Samsung Research America Inc., USA); Md Mahbubur Rahman, Jilong Kuang and Alex Gao (Samsung Research America, USA)
Impedance Pneumography; Assessment of Dual-Frequency Calibration Approaches
Hewon Jung, Samer Mabrouk and Omer T Inan (Georgia Institute of Technology, USA)
Wireless respiration monitoring using a flexible sensor and bistable circuit
Zhipeng Li, Ze Xiong, Chenhui Li and John Ho (National University of Singapore, Singapore)
Towards Motion-Aware Passive Resting Respiratory Rate Monitoring Using Earbuds
Md Mahbubur Rahman (Samsung Research America, USA); Tousif Ahmed (Samsung Research America Inc., USA); Mohsin Y Ahmed (University of Virginia, USA); Ebrahim Nemati (Samsung Research America, USA); Minh Dinh and Nathan Folkman (Samsung Design and Innovation Center, USA); Md Mehedi Hasan, Jilong Kuang and Alex Gao (Samsung Research America, USA)
Piezoelectric-Based Respiratory Monitoring: Towards Self-Powered Implantables for the Airways
Luis J Lopez Ruiz (University of Virginia, USA); Vivian Lin (University of Pennsylvania, USA); Lucy Fitzgerald, Joe Zhu, Larry Borish and Daniel Quinn (University of Virginia, USA); John Lach (The George Washington University & University of Virginia, USA)

Wednesday, July 28 15:00 - 15:05

Opening Welcome

Wednesday, July 28 15:05 - 15:35

Keynote Session 1

Wearable "SUPER-MINDS" for the Precision Control of CVDs and COVIDs
Chair: Carmen Poon (The Chinese University of Hong Kong, Hong Kong)

Prof. Yuan-Ting Zhang, Hong Kong Center for Cerebro-cardiovascular Health Engineering (COCHE) Wearable "SUPER-MINDS" for the Precision Control of CVDs and COVIDs

ABSTRACT: The cardiovascular diseases (CVDs) and coronavirus diseases (COVIDs) are the most current pressing health challenges globally today. This talk will attempt to address the grand challenges through the paradigm shift to Health Informatics and discuss the convergence approach to integrate technologies across multiple scales in the biological hierarchy from molecular, cell, organ to system for diseases prevention. The presentation will focus on the development of wearable ‘SUPER-MINDS' technologies and their integrations with unobtrusive sensing, biomarker detection, biomedical imaging and machine learning for the early prediction of acute CVDs. Potential applications in the fast response and precise control of COVID-19 will also be discussed. Using the atherosclerotic plaque assessment as an example, this talk will illustrate that the health convergence approach should allow the practice of 8- P's proactive medicine that is predictive, preventive, precise, pervasive, personalized, participatory, preemptive, and patient-centralized.

Wednesday, July 28 15:35 - 15:55

BHI-BSN Roadmap: The Celebration

Chair: May Dongmei Wang (Georgia Institute of Technology and Emory University, USA)

Andrew Laine, EMBS Past President and BHI-TC Past Chair Dimitris Fotiadis, JBHI EiC and BHI Conf. Chair Metin Akay, EMBS President, University of Houston Stephen Wong, BHI-TC Past Chair Yuan-Ting Zhang, JBHI Past EiC, BHI Conf. Past Chair

Wednesday, July 28 15:55 - 16:25

Keynote Session 2

Simplifying interpretation and acquisition of ultrasound scans
Chair: Georgia Tourassi (Oak Ridge National Laboratory, USA)

Prof. Alison Noble, Professor in Biomedical Engineering, University of Oxford, UK Simplifying interpretation and acquisition of ultrasound scans

ABSTRACT: With the increased availability of low-cost and handheld ultrasound probes, there is interest in simplifying interpretation and acquisition of ultrasound scans through deep-learning based analysis so that ultrasound can be used more widely in healthcare. However, this is not just "all about the algorithm", and successful innovation requires inter-disciplinary thinking and collaborations.

In this talk I will overview progress in this area drawing on examples of my laboratory's experiences of working with partners on multi-modal ultrasound imaging, and building assistive algorithms and devices for pregnancy health assessment in high-income and low-and-middle-income country settings. Emerging topics in this area will also be discussed.

Wednesday, July 28 16:25 - 16:30

Break

Wednesday, July 28 16:30 - 17:30

Clinical/Translational panel

Chair: Athanasios Tzioufas (National and Kapodistrian University of Athens, Greece)

Guests: Maria Teresa Arredondo, Universidad Politécnica de Madrid, Spain; Doris Bamiou, University College of London, UK; Elazer R. Edelman, ΜΙΤ, US; Norbert Graf, University of the Saarland, Germany; Peter Stone, Harvard Medical School, US

Wednesday, July 28 17:30 - 18:00

Featured Session

Pandemic Mitigation by Modeling and Informatics: Lesson Learned from COVID-19
Chair: Constantinos Pattichis (University of Cyprus, Cyprus)

Prof George Panos, BSc(Biomed. Eng.), CEng, MIET, MD, PhD, DTM&H(Lon), FRCP. Former Professor, Internal Medicine, School of Medicine of the University of Cyprus and at the Nicosia General Hospital Internal Medicine Clinic TITLE: Technological Challenges to assist in the clinical management towards the Pandemic Response

ABSTRACT:

COVID-19 pandemic created tremendous pressure of patient load on the health systems and especially in hospitals challenging their ability to effectively monitor COVID-19 inpatients disease progression and provide the appropriate treatment in a timely manner. Approximately 4% of COVID 19 positive patients need hospitalization and of these an estimated 2.5% end up in ICUs and Units for Special Care. Technological challenges to record and manage the mounting epidemiological and clinical data which ultimately translated to patients' health, inevitably led to the design and implementation of a unified electronic surveillance and management platform almost immediately by the medical and engineering community that ingeniously utilized technological devices and IT solutions to deliver a real time web based covid-19 electronic health record. This covid-19 eHealth platform is categorized in three main sections a) Demographics, allergies, comorbidities, symptoms and date of symptoms onset including a self-assessment of symptom severity development by time and date, vital signs, oxymetry, current medication b) Hospital admission details (bed/ward/department), patient summary and continuous cumulative graph depictions of vital signs, oxygen status (oximetry SpO2/FiO2 and/or blood gases pO2/FiO2) and scoring systems (e.g. Acute Respiratory Distress Syndrome, Modified Early Warning System and Glasgow Coma Scale), ECG-QTc estimation c) Daily comprehensive real-time web based COVID-19 electronic health record (patient history, clinical examination, lab exams, treatment regimens) with simple timeline statistical permutation depictions.

Professor Joshua S Weitz, Tom and Marie Patton Professor of Biological Sciences, Georgia Institute of Technology, US TITLE: Modeling, Interventions, and the Ongoing Need for Pandemic Response and Mitigation Instruments

ABSTRACT: The Covid-19 pandemic continues to impact the health and well-being of communities all across the globe. From the outset, epidemic theory and models have played a key role in advancing understanding of the potential threat and in shaping public health responses. In this talk, I will highlight both near- and long-term challenges in controlling Covid-19. In doing so, I will focus on efforts to characterize non-canonical features of spread (including gathering-associated risk, behavioral feedback, and the impacts of heterogeneity) as well as efforts to use testing (including PCR and serological tests) as a means to mitigate and control spread. In closing, I will also highlight lessons learned and ongoing opportunities for use-inspired theory and modeling initiatives to enhance response, decision-making, and mitigation instruments.

Wednesday, July 28 18:00 - 18:05

Break

Wednesday, July 28 18:05 - 19:05

BSN Special Session: Body Sensor Network for Tele-Health Monitoring and Coaching

Chairs: Ivan Lee (University of South Australia, Australia), Bobak Jack Mortazavi (Texas A&M University & Center for Outcomes Research and Evaluation - Yale University, USA)
Campus safety and the internet of wearable things: Assessing student safety conditions on campus while riding a smart scooter
Devansh Gupta (Case Western Reserve University, USA); Wenyao Xu (SUNY Buffalo & Wireless Health Institute, USA); Xiong Yu and Ming-Chun Huang (Case Western Reserve University, USA)
Investigating racial bias in machine learning models of mental health: Implications for equitable telebehavioral health
Theodora Chaspari, Venkata Dubagunta and Projna Paromita (Texas A&M University, USA); Sohyun Han and Yehsong Kim (University of Southern California, USA); Adela C. Timmons (Florida International University, USA); Gayla Margolin (University of Southern California, USA)
WildCam: A Privacy Conscious Wearable Eating Detection Camera People Will Actually Wear in the Wild
Nabil Alshurafa and Josiah Hester (Northwestern University, USA); Andrea Graham (Northwestern, USA); Bonnie Spring and Aggelos K Katsaggelos (Northwestern University, USA)
What Makes Home Telemonitoring Systems Work for Underserved Diabetes Patients in the Real World
Hye-Chung Kum (Population Informatics Lab, Texas A&M University & Center for Remote Health Technologies and Systems, Texas A&M University, USA)

BSN Session: Machine Learning for the Analysis of Wearable Sensor Data

Chairs: Benny Lo (Imperial College, United Kingdom (Great Britain)), Rita Paradiso (Smartex, Italy)
Multi-Objective Optimisation for SSVEP Detection
Yue Zhang and Zhi-Qiang Zhang (University of Leeds, United Kingdom (Great Britain)); Shengquan Xie (University of Leeds, United Kingdom (Great Britain) & Binzhou Medical University, China)
Semi-Supervised Contrastive Learning for Generalizable Motor Imagery EEG Classification
Jinpei Han and Xiao Gu (Imperial College London, United Kingdom (Great Britain)); Benny Lo (Imperial College, United Kingdom (Great Britain))
Real-Time 3D Arm Motion Tracking Using the 6-axis IMU Sensor of a Smartwatch
Wenchuan Wei, Keiko Kurita, Jilong Kuang and Alex Gao (Samsung Research America, USA)
Deep Learning Model with Individualized Fine-tuning for Dynamic and Beat-to-Beat Blood Pressure Estimation
Jingyuan Hong and Jiasheng Gao (Shenzhen Technology University, China); Qing Liu (Xi'an Jiaotong-Liverpool University, China); Yuanting Zhang (City University of Hong Kong, China); Yali Zheng (Shenzhen Technology University, China)
Identifying causal relationships in time-series data from network of wearable sensors
DK Arvind (University of Edinburgh, United Kingdom (Great Britain))
Deep 3D Body Landmarks Estimation for Smart Garments Design
Annalisa Baronetto and Dominik Wassermann (Chair of Digital Health & Friedrich-Alexander University Erlangen-Nuremberg, Germany); Oliver Amft (Friedrich-Alexander Universität (FAU) Erlangen-Nürnberg, Germany)

Wednesday, July 28 19:05 - 19:35

Poster Session # 2

19:05 Continual Learning in Body Sensor Networks
Iman Mirzadeh (Washington State University, USA); Hassan Ghasemzadeh (Arizona State University, USA)
19:12 Stress Classification and Personalization: Getting the most out of the least
Ramesh Kumar Sah (Washington State University, USA); Hassan Ghasemzadeh (Arizona State University, USA)
19:20 Real-Time Hyperglycemia Prediction in Type 2 Diabetes for Various Pharmacotherapies
Andrew N. Shahidehpour and Mudassir Rashid (Illinois Institute of Technology, USA); Mohammad Reza Askari (400 E. 33rd Street & Illinois Institute of Technology, USA); Xiaoyu Sun (Illinois Institute of Technology, USA); Cynthia Fritschi (University of Illinois at Chicago, USA); Ali Cinar (Illinois Institute of Technology, USA)
19:27 Human Activity Recognition in a Distributed Machine Learning System
John Moran (University of Limerick, Ireland)

Thursday, July 29

Thursday, July 29 12:30 - 13:00

Poster Session # 3

12:30 Machine Learning implementation for an accelerometer-based wearable device for neonatal monitoring
Francesco Desimoni (University of Eastern Piedmont, UNIUPO, Italy); Massimo Canonico (Università del Piemonte Orientale, Italy); Matteo Ratti (University of Eastern Piedmont, UNIUPO, Italy); Luigi Portinale (Università del Piemonte Orientale, Italy); Massimiliano Panella (University of Eastern Piedmont, UNIUPO, Italy)
12:37 Estimation Technique for Vertical Ground Reaction Force using Inertial Sensor during Nursing Activity
Kodai Kitagawa (Kyushu Institute of Technology, Japan); Takayuki Nagasaki (Tohoku Bunka Gakuen University, Japan); Sota Nakano (Kyushu University of Nursing and Social Welfare, Japan); Mitsumasa Hida (Osaka Kawasaki Rehabilitation University, Japan); Shogo Okamatsu (Kitakyushu Rehabilitation College, Japan); Chikamune Wada (Kyushu Institute of Technology, Japan)
12:45 Estimation of center of pressure in gait using magneto-inertial measurement units
Janez Podobnik and David Kraljić (University of Ljubljana, Slovenia); Matjaž Zadravec (University Rehabilitation Institute Republic of Slovenia, Slovenia); Marko Munih (University of Ljubljana, Slovenia)
12:52 Latency Aligning Task-related Component Analysis for Enhancing Performance of SSVEP-based BCIs
Jiayang Huang, Pengfei Yang and Bang Xiong (Xidian University, China); Zhi-Qiang Zhang (University of Leeds, United Kingdom (Great Britain))

Thursday, July 29 13:00 - 14:00

BSN Special Session: Advancements in Sensors, Algorithms and Clinical Trials for Non-invasive and Cuffless Blood Pressure Monitoring

Chair: Yali Zheng (Shenzhen Technology University, China)
Estimation Fusion Improves Cuffless Blood Pressure Waveform Prediction
Cederick Landry, Sean Peterson and Arash Arami (University of Waterloo, Canada)
Evaluation of Cuff-Less Blood Pressure Measurement Devices: Challenges and Recommendations
Ramakrishna Mukkamala (University of Pittsburgh, USA)
Non-invasive and finger-worn system for capillary blood pressure measurement
Jing Liu (University of Souther California, USA)
Towards the longitudinal measurement of day and night blood pressure with the Aktiia optical device: improving the diagnosis and management of hypertension at scale
Josep Sola, Sibylle Fallet and David Perruchoud (Aktiia SA, Switzerland)
Wrist-worn Soft Sensor Array for Continuous, Cuffless Blood Pressure Monitoring
Sung-Min Park and Vega Pradana Rachim (POSTECH, Korea (South))

BSN Session: Medical and Wellness Applications

Chairs: Christina Chase (MIT, USA), Giancarlo Fortino (University of Calabria, Italy)
Wavelet-based analysis of gait for automated frailty assessment with a wrist-worn device
Domenico Minici (Dept. of Information Engineering, University of Pisa, Pisa, Italy); Guglielmo Cola (Institute of Informatics and Telematics, IIT-CNR, Pisa, Italy); Antonella Giordano and Silvana Antoci (Research Unit of Medicine of Aging, Dept. of Clinical and Experimental Medicine, University of Florence, Firenze, Italy); Elena Girardi (Unit of Geriatrics - Geriatrics Intensive Care Unit, Dept. of Medicine and Geriatrics, Careggi Hospital, Firenze, Italy); Mauro Di Bari (Research Unit of Medicine of Aging, Dept. of Clinical and Experimental Medicine, University of Florence, Firenze, Italy); Marco Avvenuti (Dept. of Information Engineering, University of Pisa, Pisa, Italy)
Adaptive Surface Electromyography Normalization for Long-Duration Recordings
Samantha Fox (University of Vermont, USA); Reed D Gurchiek (Stanford University, USA); Anna Teresa Ursiny (University of Vermont & M-Sense Research Group, USA); Brett M Meyer, Julianne M Boughton and Ryan S McGinnis (University of Vermont, USA)
Better Battery Life: Towards Energy-Efficient Smartwatch-Based Atrial Fibrillation Detection in Ambulatory Free-living Environment
Hanbin Zhang (University at Buffalo, SUNY, USA); Viswam Nathan, Li Zhu, Jilong Kuang, Jacob Kim and Alex Gao (Samsung Research America, USA)
An Artificial ear - A wearable device for the hearing impaired
Antonia Pavlidou (Imperial College London, United Kingdom (Great Britain)); Benny Lo (Imperial College, United Kingdom (Great Britain))
Reliable Real-Time Sensing of Respiration Rate Using Channel State Information Modeling in Wireless Body Area Networks
Lawrence Lee, Ruslan Dautov and Gill R Tsouri (Rochester Institute of Technology, USA)
Real-Time ECG Interval Monitoring Using a Fully Disposable Wireless Patch Sensor
Gabriel Nallathambi (Vital Connect, Inc, USA); Paurakh L Rajbhandary (Vital Connect Inc., USA); Thang Tran and Olivier Colliou (Vital Connect, Inc, USA)

Thursday, July 29 14:00 - 14:30

Keynote Session 3

Improving Consideration of Social and Cognitive Behaviors in Advancing Informatics Technologies for Health Care
Chair: Daniela Giordano (University of Catania, Italy)

Prof. Vimla L Patel, Director of the Center for Cognitive Studies in Medicine and Public Health at the New York Academy of Medicine, US Improving Consideration of Social and Cognitive Behaviors in Advancing Informatics Technologies for Health Care

ABSTRACT: The modern landscape is being shaped by complex converging forces that will cause shifts in how we deliver and use health care. As we embrace inevitable technological advances, social and cognitive factors will need to be a major part of the discussion, with a focus on the users of the technical innovations. Current efforts to advance this goal have already started. However, there is still a disparity between the users' knowledge and expectations of the technical systems being introduced and their lay beliefs, limited mental models of the technology, and their cognitive representations of illness and disease. Social cognition is predicated upon the belief that both patients and clinicians are predisposed to see the world in individualized ways that shape their behavior and decision-making. These factors are too often misunderstood or ignored in the design and evaluation of engineering systems. A major challenge for health informatics in the future will be to generate evidence-based information about how people process medical and health-related information, with and without supporting technologies. There will be a much greater need for collaborative efforts among scientists (biomedical, cognitive, and social), practitioners, and engineers, as they design and implement systems, if we are to offer technologies that are embraced and thereby reshape the future of our healthcare for a better quality of life. I will address some of these issues with examples from cognitive informatics studies, which influence users' behavior as they interact with health care technology.

Thursday, July 29 14:30 - 15:00

Keynote Session 4

Soft, Wearable Systems with Integrated Microfluidics and Biosensors for Remote Health Monitoring
Chair: Omer T Inan (Georgia Institute of Technology, USA)

Prof. Roozbeh Ghaffari, Northwestern University, USA Soft, Wearable Systems with Integrated Microfluidics and Biosensors for Remote Health Monitoring

ABSTRACT: Soft bio-electronics and microfluidics, enabled by recent advances in materials science and mechanics, can be designed with physical properties that approach the mechanical properties of human skin. These systems are referred to as epidermal electronics and epifluidics by virtue of their stretchable form factors and soft mechanics compared to conventional packaged electronics and sensors. Here, we present an overview of recent advances in novel materials, mechanics, and designs for emerging classes of fully-integrated epidermal electronics and soft microfluidic systems. These devices incorporate arrays of sensors, microfluidic channels and biochemical assays, configured in ultrathin, stretchable formats for continuous monitoring of electro-chemical signals and biophysical metrics. Quantitative analyses of strain distribution and circuit performances under mechanical stress highlight the utility of these wearable systems in clinical and home environments. We will conclude with representative examples of these wearable systems, which have entered the commercialization phase of deployment.

Thursday, July 29 15:00 - 15:05

Break

Thursday, July 29 15:05 - 16:05

Regulatory panel

Regulatory issues for medical devices panel
Chair: Nenad Filipovic (University of Kragujevac, Serbia)

Thursday, July 29 16:05 - 16:10

Break

Thursday, July 29 16:10 - 17:10

BSN Special Session: Non-Contact Technologies for Pervasive Healthcare

Non-Invasive Photoplethysmography for Multi Physiological Parameter Monitoring
Ye Sun (Michigan Technological University, USA)
Heart Rate Detection using a Contactless Bed Sensor: A Comparative Study of Wavelet Methods
Ibrahim Sadek (University of Sherbrooke & Helwan University, Canada); Bessam Abdulrazak (Université de Sherbrooke, Canada); Terry Heng and Edwin Seet (Khoo Teck Puat Hospital, Singapore)
Capacitive Measurement of Bioelectrical Signal and its Application for Healthcare IoT
Hyun Jae Baek (Soonchunhyang University, Korea (South))

BSN Special Session: Digital Biomarkers for Monitoring and Predicting Upper Limb Recovery After Stroke

Chair: Christoph M. Kanzler (Singapore-ETH Centre & ETH Zurich, Singapore)
Upper limb activity performance after stroke, as measured by wearable sensors
Catherine E Lang (Washington University School of Medicine, USA)
Towards Estimating Upper-Limb Impairment in Stroke Survivors using a Single Wrist-Worn Sensor
Sunghoon Ivan Lee (University of Massachusetts, USA)
Digital Biomarkers for Maximizing the Benefits of Upper Extremity Movement Training after Stroke: Sensation, Synergy, Success
Reinkensmeyer David (UC Irvine, USA)

Thursday, July 29 17:10 - 18:10

BSN Special Session: New Technologies for the Future of Prenatal Health

Chairs: Rita Paradiso (Smartex, Italy), Julien Penders (Bloomlife, USA)
Heart rate variability code: does it exist and can we hack it?
Martin Gerbert Frasch (Heart Rate AI, USA)
Towards Noninvasive Accurate Detection of Intrapartum Fetal Hypoxic Distress
Begum Kasap (University of California Davis, USA); Kourosh Vali and Weitai Qian (University of California, Davis, USA); Herman L. Hedriana, Aijun Wang and Diana L. Farmer (University of California Davis Health, USA); Soheil Ghiasi (University of California, Davis, USA)
Detection of preventable fetal distress during labor from scanned cardiotocogram tracings using deep learning
Martin Gerbert Frasch and Shadrian Strong (Heart Rate AI, USA); David Nilosek (Heart Rate AI, Inc, USA); Barry S. Schifrin (Heart Rate AI, USA)

BSN Special Session: Wearable solutions for continuous, efficient and accurate lung monitoring for innovative diagnostics in lung related chronic diseases

Thursday, July 29 18:10 - 18:40

Poster Session # 4

18:10 Oil Membrane Protected Sensor - A Key Breakthrough for Continuous Sweat Biosensing
Yuchan Yuan, Madeline DeBrosse and Jason Heikenfeld (University of Cincinnati, USA)
18:25 A Pilot Study using Covert Visuospatial Attention as an EEG-based Brain Computer Interface to Enhance AR Interaction
Nataliya Kosmyna (MIT Media Lab, USA)

Friday, July 30

Friday, July 30 12:30 - 13:00

Poster Session # 5

12:30 Self-directed assessment of standing balance and falls risk using a smartphone
Barry R. Greene (Kinesis Health Technologies, Ireland); Killian McManus (University College Dublin & Kinesis Health Technologies, Ireland); Lilian Genaro Motti Ader (University of Limerick, Ireland); Brian Caulfield (University College Dublin, USA)
12:40 Single IMU assessment of postural sway and falls risk in older adults
Killian McManus (University College Dublin & Kinesis Health Technologies, Ireland); Barry R. Greene (Kinesis Health Technologies, Ireland); Lilian Genaro Motti Ader (University of Limerick, Ireland); Brian Caulfield (University College Dublin, USA)
12:50 Evaluation of Wearable Flex Sensor for Spine Angle Measurement during Picking-up Motion
Tatsuya Onishi, Ibai Gorordo Fernandez and Kodai Kitagawa (Kyushu Institute of Technology, Japan); Yuji Katae (Katae Orthopaedic and Rheumatology Clinic, Japan); Naoki Chijiwa, Aki Kuwazono and Hisashi Arizono (Arizono Orthopedic Supplies Co., Ltd., Japan); Chikamune Wada (Kyushu Institute of Technology, Japan)

Friday, July 30 13:00 - 14:00

BSN Special Session: Wearable Sensing for Detecting and Monitoring Shock

Chair: Brian Telfer (MIT Lincoln Laboratory, USA)
Wearable photoplethysmography considerations for measuring compensatory reserve
Brian Telfer (MIT Lincoln Laboratory, USA)
Wearable Technologies for Pre-Hospital Trauma Care
Inan Omer and Jacob Kimball (Georgia Institute of Technology, USA); David Lin (Georgia Tech, USA); Jonathan Zia (Georgia Institute of Technology, USA)
Second Generation Compensatory Reserve Metric Algorithm using Deep Convolutional Networks
Robert W Techentin (Mayo Clinic, USA); David Holmes III (Mayo Clinic College of Medicine, USA); Christopher Felton (Mayo Clinic, USA); Leena Pramanik (Mayo Clinic Graduate School, USA); Barry K Gilbert (Mayo Clinic, USA); Timothy Curry and Michael Joyner (Mayo Clinic College of Medicine, USA); Victor Convertino (US Army Institute of Surgical Research, USA); Clifton Haider (Mayo Clinic, USA)
Accurate Decision Support for Patients Suffering with Hemorrhage: It's not about Monitoring - It's about Physiology!
Victor Convertino (US Army Institute of Surgical Research, USA)

BSN Session: Novel Sensing Solutions for Long-Term Monitoring

Chairs: Valeria De Luca (Novartis, Switzerland), Jeffrey Palmer (MIT Lincoln Laboratory & Lincoln Laboratory, USA)
A Soft Inflatable Elbow-Assistive Robot for Children with Cerebral Palsy
Yulin Wang (Imperial College London, United Kingdom (Great Britain)); Benny Lo (Imperial College, United Kingdom (Great Britain))
Assessing Internal and External Attention in AR using Brain Computer Interfaces: A Pilot Study
Nataliya Kosmyna (MIT Media Lab, USA)
Noninvasive Continuous Blood Pressure Measurement with Wearable Millimeter Wave Device
Catherine Liao, Oliver Shay, Elizabeth Gomes and Nikhil Bikhchandani (Blumio, Inc., USA)
Measurement of CO2 retention and breath frequency in Subea EasyBreath snorkeling masks converted into improvised COVID19 protection measures for medical services
Juliusz M. M. Stefański (AGH University of Science and Technology & ABB, Poland); Olaf Tomaszewski, Marek Iwaniec and Jacek Wesół (AGH University of Science and Technology, Poland)
Design and Evaluation of a Wrist Wearable Joint Acoustic Emission Monitoring System
Daniel Hochman and Goktug Cihan Ozmen (Georgia Institute of Technology, USA); Lori Ponder and Sampath Prahalad (Emory University School of Medicine, USA); Inan Omer (Georgia Institute of Technology, USA)
Small-form wearable device for long-term monitoring of cardiac sounds on the body surface
Bruno Miguel Gil Rosa (Hamlyn Centre & Imperial College London, United Kingdom (Great Britain)); Salzitsa Anastasova (Imperial College, London, United Kingdom (Great Britain)); Benny Lo (Imperial College, United Kingdom (Great Britain))

Friday, July 30 14:00 - 14:30

Keynote Session 5

Digital Health Technology - leveraging real-world insights in mobility
Chair: Paolo Bonato (Harvard Medical School, USA)

Prof. Lynn Rochester, Newcastle University, UK. Digital Health Technology - leveraging real-world insights in mobility

ABSTRACT: Mobility is important - the last year has brought this into sharp focus. Mobility is not only a target for intervention, subtle features of mobility (such as how fast someone walks and how variable their steps are) provide us with a window into the brain and body and an indicator of health. As a clinician, mobility has been my focus. In particular, how do we keep people with neurodegenerative disease such as Parkinson's - mobile and safe? This propelled me towards the scientific study of gait - a key feature of mobility. The last 10 years have seen a revolution in digital technology (such as wearables and mobile devices) advancing the study of mobility. Implementing technology in the real-world allows further insights into health previously unobtainable and a ‘living-lab' approach to study and treat mobility loss. Continuous monitoring captures the challenges of mobility that play out in real-time at the intersection between personal, contextual and environmental demands and bring a personalized focus to healthcare. However, large scale implementation of real-world mobility assessment and treatment, although promising, remains tantalizingly out of reach. This talk will focus on experiences and insights using digital technology to quantify mobility in Parkinson's disease, explore challenges to extract meaningful insights from continuous real-world mobility data, and highlight future possibilities. Throughout I will draw on my own experience using digital technology and leverage insights from the work of the Mobilise-D consortium (https://www.mobilise-d.eu/), a large international effort to translate real-world mobility assessment to research and healthcare.

Friday, July 30 14:30 - 15:00

Keynote Session 6

Leveraging Electronic Health Records for Precision Health
Chair: Benny Lo (Imperial College, United Kingdom (Great Britain))

Friday, July 30 15:00 - 15:05

Break

Friday, July 30 15:05 - 16:05

Industry panel

The Evolution of AI products/services in medical informatics
Chair: Julien Penders (Bloomlife, USA)

In this session, we will hear and discuss how advanced AI-enabled health informatics have impacted products and services offered by medtech and bioinformatics companies. We will hear the perspective of a handful of selected companies developing novel AI-based solutions, including new devices, sensors, predictive analytics, digital tools and software solutions that contribute to improving and rethinking healthcare systems and promote a better quality of life. We will hear their views on the opportunities and the challenges associated with building new products and services that rely on AI. The format of the session will include short presentations by each participating companies, followed by a moderated panel discussion.

Friday, July 30 16:05 - 16:10

Break

Friday, July 30 16:10 - 17:10

BSN Special Session: Recent Advances in Wearable and Implantable Electronics and Circuits

Chair: Wen Li (Michigan State University, USA)
Skin-Interfaced Wearable Sweat Biosensors
Wei Gao (California Institute of Technology, USA)
CMOS Neural Probes for Large Scale Electrophysiology
Carolina Mora Lopez (IMEC, Belgium)

BSN Special Session: Toward Artificial General Intelligence for Wearable Systems

Chair: Hassan Ghasemzadeh (Arizona State University, USA)
Enhancing Human Activity Recognition by Opportunistically Selecting IoT Sensors
Zhale Nowroozilarki and Nathan C Hurley (Texas A&M University, USA); Bobak Jack Mortazavi (Texas A&M University & Center for Outcomes Research and Evaluation - Yale University, USA)
Context-aware Few-shot Learning of Human Activities of Daily living
Ali Akbari and Roozbeh Jafari (Texas A&M University, USA)
Addressing Unreliability of Wearable Photoplethysmogram Signals in Machine Learning
Vignesh Ravichandran and Dhaval Solanki (University of Rhode Island, USA); Shehjar Sadhu (University Of Rhode Island, USA); Kunal Mankodiya (University of Rhode Island, USA)
Wearable-based Classification of Running Styles with Deep Learning
Setareh Rahimi Taghanaki, Michael Rainbow and Ali Etemad (Queen's University, Canada)

Friday, July 30 17:10 - 18:10

BSN Special Session: Open-source algorithms and tools for accelerating adoption of wearable technology in clinical research

Chair: Ryan S McGinnis (University of Vermont, USA)
Facilitating Translational Research and Evidence-Based Practice through Open-Source Algorithms
Cristine Agresta (University of Washington, USA)
Freezing of gait in a clinic using wearable sensors
Vrutangkumar V Shah (Balance Disorders Lab, OHSU, USA)
RemoteBMX: An open-source software platform for multimodal free-living gait analysis with wearable sensors
Reed D Gurchiek (Stanford University, USA); Brett M Meyer, Samantha Fox and Ryan S McGinnis (University of Vermont, USA)
R package GGIR: A tool to process and analyse multi-day wearable accelerometer data
Vincent T van Hees (Accelting, The Netherlands)

Friday, July 30 18:10 - 18:40

Keynote Session 7

Large networks of disease-disease interactions at the medical and molecular level
Chair: Maria Fernanda Cabrera (Universidad Politécnica de Madrid, Spain)

Prof. Alfonso Valencia, ICREA Research Professor and Director of the Life Sciences Department, Barcelona Supercomputing Centre, SP Large networks of disease-disease interactions at the medical and molecular level.

ABSTRACT: Biomedicine is confronting significant challenges for the handling and analysis of large data sets, among them a particularly relevant one is the interaction between diseases, i.e. disease comorbidities. Comorbidities are an important medical and social problem that demands an interpretation of the underlying physiological causes, as a necessary step to progress in its management and control. As a first step in this direction, we have analysed two complementary data sets, one composed by a large collection of expression data (RNAseq data 72 human diseases analysed by 107 studies, including a total number of 4.267 samples, from the GREIN platform) the other one base on medical records from three different medical systems (Blumenau, Brazil; Catalonia, Spain; and Indianapolis, United States) or from previous publications (Hidalgo et al. 2009 and Jensen et al. 2014). With this information, we have constructed two disease-disease interaction networks, one reflecting real-world medical associations and the other the similarities of the molecular profiles of patients of different diseases. Interestingly, the two networks have striking similarities in terms of their organization and characteristics. More importantly, we can show for the first time that most disease interactions have a counterpart at the molecular level. This molecular relationship can be translated into detailed molecular basis of specific disease interactions. I will discuss the implications of these results for the interpretation of diseases interactions at the level of specific genes and pathways, as well as the potential consequences for the management of disease comorbidities.

Based on the work of: Beatriz Urda-García, Jon Sanchez, Rosalba Lepore at BSC.

Friday, July 30 18:40 - 19:00

Closing Ceremony, Best Paper, Best Poster Awards