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Program for 2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Wednesday, July 28
Wednesday, July 28 12:30 - 13:00
Poster Session # 1
- Digital health to support head and neck cancer survivors
- Classification of Postures with Clothing-mounted Wearable Sensors
Wednesday, July 28 13:00 - 14:00
BSN Special Session: Digital Biomarkers for Movement Disorders
- Quantitative motor testing in rare movement disorders
- Wearable Computing, Machine Learning, and Biomechanical Modeling for Movement Disorder Research
- Cognitive-motor interference in the dual task paradigm
- Detecting sensitive mobility features for Parkinson's disease stages via machine learning
BSN Special Session: Body-interfaced Flexible Sensors and Actuators: recent developments, challenges and opportunities
- Digitally-embroidered Liquid Metal Textiles for Near-field Wireless Body Sensor Networks
- Kirigami strain sensing on balloon catheters with temporary tattoo paper
- Soft self-powered body sensor networks for human posture and health monitoring
- Skin-interfaced soft strain sensors using printable conductive ink and radio frequency estimation
Wednesday, July 28 14:00 - 15:00
BSN Special Session: Body Sensor Networks in the era of pandemic
- FaceMask: a Smart Personal Protective Equipment for Compliance Assessment of Best Practices to Control Pandemic
- A UWB Radar-based Approach of Detecting Vital Signals
- The Use of Thermal Imaging and Deep Learning for Pulmonary Diagnostics and Infection Detection
- Multi-band Implantable Microstrip Antenna on Large Ground Plane and TiO2 Substrate
- CardioTEXTIL: Wearable for Monitoring and End-to-End Secure Distribution of ECGs
BSN Session: Monitoring Pulmonary Function Using Wearable Technology
- CoughBuddy: Multi-Modal Cough Event Detection Using Earbuds Platform
- Impedance Pneumography; Assessment of Dual-Frequency Calibration Approaches
- Wireless respiration monitoring using a flexible sensor and bistable circuit
- Towards Motion-Aware Passive Resting Respiratory Rate Monitoring Using Earbuds
- Piezoelectric-Based Respiratory Monitoring: Towards Self-Powered Implantables for the Airways
Wednesday, July 28 15:00 - 15:05
Opening Welcome
Wednesday, July 28 15:05 - 15:35
Keynote Session 1
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
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
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
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
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
- Campus safety and the internet of wearable things: Assessing student safety conditions on campus while riding a smart scooter
- Investigating racial bias in machine learning models of mental health: Implications for equitable telebehavioral health
- WildCam: A Privacy Conscious Wearable Eating Detection Camera People Will Actually Wear in the Wild
- What Makes Home Telemonitoring Systems Work for Underserved Diabetes Patients in the Real World
BSN Session: Machine Learning for the Analysis of Wearable Sensor Data
- Multi-Objective Optimisation for SSVEP Detection
- Semi-Supervised Contrastive Learning for Generalizable Motor Imagery EEG Classification
- Real-Time 3D Arm Motion Tracking Using the 6-axis IMU Sensor of a Smartwatch
- Deep Learning Model with Individualized Fine-tuning for Dynamic and Beat-to-Beat Blood Pressure Estimation
- Identifying causal relationships in time-series data from network of wearable sensors
- Deep 3D Body Landmarks Estimation for Smart Garments Design
Wednesday, July 28 19:05 - 19:35
Poster Session # 2
- 19:05 Continual Learning in Body Sensor Networks
- 19:12 Stress Classification and Personalization: Getting the most out of the least
- 19:20 Real-Time Hyperglycemia Prediction in Type 2 Diabetes for Various Pharmacotherapies
- 19:27 Human Activity Recognition in a Distributed Machine Learning System
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
- 12:37 Estimation Technique for Vertical Ground Reaction Force using Inertial Sensor during Nursing Activity
- 12:45 Estimation of center of pressure in gait using magneto-inertial measurement units
- 12:52 Latency Aligning Task-related Component Analysis for Enhancing Performance of SSVEP-based BCIs
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
- Estimation Fusion Improves Cuffless Blood Pressure Waveform Prediction
- Evaluation of Cuff-Less Blood Pressure Measurement Devices: Challenges and Recommendations
- Non-invasive and finger-worn system for capillary blood pressure measurement
- Towards the longitudinal measurement of day and night blood pressure with the Aktiia optical device: improving the diagnosis and management of hypertension at scale
- Wrist-worn Soft Sensor Array for Continuous, Cuffless Blood Pressure Monitoring
BSN Session: Medical and Wellness Applications
- Wavelet-based analysis of gait for automated frailty assessment with a wrist-worn device
- Adaptive Surface Electromyography Normalization for Long-Duration Recordings
- Better Battery Life: Towards Energy-Efficient Smartwatch-Based Atrial Fibrillation Detection in Ambulatory Free-living Environment
- An Artificial ear - A wearable device for the hearing impaired
- Reliable Real-Time Sensing of Respiration Rate Using Channel State Information Modeling in Wireless Body Area Networks
- Real-Time ECG Interval Monitoring Using a Fully Disposable Wireless Patch Sensor
Thursday, July 29 14:00 - 14:30
Keynote Session 3
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
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
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
- Heart Rate Detection using a Contactless Bed Sensor: A Comparative Study of Wavelet Methods
- Capacitive Measurement of Bioelectrical Signal and its Application for Healthcare IoT
BSN Special Session: Digital Biomarkers for Monitoring and Predicting Upper Limb Recovery After Stroke
- Upper limb activity performance after stroke, as measured by wearable sensors
- Towards Estimating Upper-Limb Impairment in Stroke Survivors using a Single Wrist-Worn Sensor
- Digital Biomarkers for Maximizing the Benefits of Upper Extremity Movement Training after Stroke: Sensation, Synergy, Success
Thursday, July 29 17:10 - 18:10
BSN Special Session: New Technologies for the Future of Prenatal Health
- Heart rate variability code: does it exist and can we hack it?
- Towards Noninvasive Accurate Detection of Intrapartum Fetal Hypoxic Distress
- Detection of preventable fetal distress during labor from scanned cardiotocogram tracings using deep learning
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
- 18:25 A Pilot Study using Covert Visuospatial Attention as an EEG-based Brain Computer Interface to Enhance AR Interaction
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
- 12:40 Single IMU assessment of postural sway and falls risk in older adults
- 12:50 Evaluation of Wearable Flex Sensor for Spine Angle Measurement during Picking-up Motion
Friday, July 30 13:00 - 14:00
BSN Special Session: Wearable Sensing for Detecting and Monitoring Shock
- Wearable photoplethysmography considerations for measuring compensatory reserve
- Wearable Technologies for Pre-Hospital Trauma Care
- Second Generation Compensatory Reserve Metric Algorithm using Deep Convolutional Networks
- Accurate Decision Support for Patients Suffering with Hemorrhage: It's not about Monitoring - It's about Physiology!
BSN Session: Novel Sensing Solutions for Long-Term Monitoring
- A Soft Inflatable Elbow-Assistive Robot for Children with Cerebral Palsy
- Assessing Internal and External Attention in AR using Brain Computer Interfaces: A Pilot Study
- Noninvasive Continuous Blood Pressure Measurement with Wearable Millimeter Wave Device
- Measurement of CO2 retention and breath frequency in Subea EasyBreath snorkeling masks converted into improvised COVID19 protection measures for medical services
- Design and Evaluation of a Wrist Wearable Joint Acoustic Emission Monitoring System
- Small-form wearable device for long-term monitoring of cardiac sounds on the body surface
Friday, July 30 14:00 - 14:30
Keynote Session 5
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
Friday, July 30 15:00 - 15:05
Break
Friday, July 30 15:05 - 16:05
Industry panel
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
- Skin-Interfaced Wearable Sweat Biosensors
- CMOS Neural Probes for Large Scale Electrophysiology
BSN Special Session: Toward Artificial General Intelligence for Wearable Systems
- Enhancing Human Activity Recognition by Opportunistically Selecting IoT Sensors
- Context-aware Few-shot Learning of Human Activities of Daily living
- Addressing Unreliability of Wearable Photoplethysmogram Signals in Machine Learning
- Wearable-based Classification of Running Styles with Deep Learning
Friday, July 30 17:10 - 18:10
BSN Special Session: Open-source algorithms and tools for accelerating adoption of wearable technology in clinical research
- Facilitating Translational Research and Evidence-Based Practice through Open-Source Algorithms
- Freezing of gait in a clinic using wearable sensors
- RemoteBMX: An open-source software platform for multimodal free-living gait analysis with wearable sensors
- R package GGIR: A tool to process and analyse multi-day wearable accelerometer data
Friday, July 30 18:10 - 18:40
Keynote Session 7
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
Program last updated on no date/time given