Technical Session & Poster

Session Chair: Dr. Kunal Mankodiya (kunalm@uri.edu)

• KneeMS: A Low-Cost Wireless Wearable System to Monitor Knee Acoustic Emissions, Mohammad Nikbakht, Quentin Goossens, Goktug Cihan Ozmen, Markella Bibidakis, David Lin, Omer T Inan (Georgia Institute of Technology)
• Investigating Optimal Intermittent Pneumatic Compression Timing Across Two Days, Iara B Santelices¹, Cederick Landry², Arash Arami¹, Sean Peterson¹ (1: University of Waterloo, 2: University of Sherbrooke)
• Combining Knee Acoustic Emissions, Patient-Reported Measures, and Machine Learning to Assess Osteoarthritis Severity, Christopher J Nichols¹, H. Trask Crane¹, Dave Ewart², Omer T Inan¹ (1: Georgia Institute of Technology, 2: Minneapolis Veterans Affairs Medical Center)
• Wearable Active Vibration Sensing for Mid-Activity Knee Health Assessment, Goktug Cihan Ozmen, Christopher J Nichols, Lan Lan, Emily Moise, Christopher Sugino, Alper Erturk, Omer T Inan (Georgia Institute of Technology)
• Motor Function Assessment of Children with Cerebral Palsy using Monocular Video, Peijun Zhao¹, Moises Alencastre-Miranda¹, Zhan Shen², Ciaran T O Neill¹, David Whiteman³, Javier Gervas-Arruga³, Krebs Hermano Igo¹ (1: Massachusetts Institute of Technology, 2: University of Michigan, 3: Takeda)
• Subject-Independent Ankle Joint Power Estimation with Two IMUs During Flat and Inclined Walking, Hong Wang¹, Dongxuan Li¹, Kairan Liang², Peter Shull¹ (1: Shanghai Jiaotong University, 2: Northeastern University)

Session Chair: Dr. Amir Rahmani (amirr1@hs.uci.edu)

• Monitoring coughs using a chest-wearable Respeck, DK Arvind, P Chanchotisatien, T Georgescu, Celina Dong Ye (University of Edinburgh)
• Comparative Analysis of ECG-derived Skin Nerve Activity and Electrodermal Activity for Assessing Sympathetic Activity, Farnoush Baghestani, Youngsun Kong, Ki Chon (University of Connecticut)
• Towards E-Nose Detection of Volatile Organic Compounds as Disease Biomarkers with Complementary Cardiovascular Assessment, Bruno Miguel Gil Rosa , Dominic Wales, Benny Lo (Imperial College London)
• Real-time Detection of Two Subjects’ Respiratory Rates Using Wavelet-Transform-Based 5.8 GHz CW Doppler Radar, Meiyu Li, Luke Xu, Sida Liang, Jianbo Tang (Southern University of Science and Technology)
• VTMonitor: Tidal Volume Estimation Using Earbuds, Yincheng Jin¹, Md Mahbubur Rahman², Tousif Ahmed², Lana Mukharesh³, Jilong Kuang², Alex Gao² (1: University At Buffalo, SUNY, 2: Samsung Research America, 3: Harvard Medical School)

Session Chair: Dr. Bart Vanrumste (bart.vanrumste@kuleuven.be)

• Predicting Real-time, Recurrent Adverse Invasive Ventilation from Clinical Data Streams, Arash Pakbin¹, Zhale Nowroozilarki¹, Donald Lee², Bobak Jack Mortazavi¹ (1: Texas A&M University, 2: Emory University)
• Characterizing Signal Quality of Three Common Respiratory Sensing Modalities in the Context of Stress and Peripheral Nerve Stimulation, Jesus Antonio Sanchez-Perez¹, Asim H Gazi¹, Samer Mabrouk¹, Farhan Rahman¹, Alexis Seith¹, Georgia Saks¹, Srirakshaa Sundararaj¹, Rachel Erbrick¹, Anna B Harrison¹, Mihir Modak², Jin-Oh Hahn², Omer T Inan¹ (1: Georgia Institute of Technology, 2: University of Maryland)
• A pilot study on neonatal ultrasound patterns unraveling associations with obstetric factors, Arnau Marin¹, Silvia Rial Sariwati¹, Joaquim Bosch Castells¹, Xiaoyu Yan², Cristina Mas Cabrera¹, Mariona Estruga Vinyals¹, Pilar Llobet-Agullo¹ (1: Hospital General Granollers, 2: Tufts University)
• Assessing Novel Orthostatic Vital Signs with a Wearable Sensor, Amar S Basu, Ziad Elhajjaji (Wayne State University)
• Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters, Elena Idi, Francesco Prendin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero (University of Padua)

Session Chair: Dr. Maria Fernanda Cabrera (chiqui@lst.tfo.upm.es)

• Power Consumption and Maximum Number of Supported Nodes for BLE Biosensor Applications, Kiriaki Rajotte¹, Anson Wooding², Jianan Li¹, Benjamin E. McDonald², Xinming Huang¹, Todd R. Farrell², Edward A. Clancy¹ (1: Worcester Polytechnic Institute, 2: Liberating Technologies Inc.)
• Feasibility of a Wireless Vital Signal Monitoring System in the NICU, Daniel J. Radeschi¹, Eva Senechal¹, Lydia Tao², Shasha Lv², Wissam Shalish³, Guilherme Sant’Anna³, Robert E. Kearney¹ (1: McGill University, 2: RI-MUHC, 3: Montreal Children’s Hospital)
• SeismoNet: A Multi-Node Wireless Wearable Platform for Enhanced Physiological Sensing, Mohammad Nikbakht, Michael Chan, David Lin, Christopher J Nichols, Markella Bibidakis, Moamen M Soliman, Omer T Inan (Georgia Institute of Technology)
• Selective Patterning of Liquid Metal-Based Soft Electronics via Laser-Induced Graphene Residue, Wedyan Babatain, Ozgun Kilic Afsar, Fabian Velasquez, Hiroshi Ishii (Massachusetts Institute of Technology)
• Estimated Results of R-R Interval Using a Small Card-Sized VHF-Band Contactless Heartbeat Sensor Module, Saki Wada¹, Kengo Nishimoto¹, Yoshio Inasawa¹, Shintaro Izumi² (1: Mitsubishi Electric Corporation, 2: Kobe University)
• Analytical and computational analysis of a wearable impedance sensor for wireless measurements of analytes in bodily fluids, Mohammad K Kangi¹, Xue Jiang², Elizabeth C Wilkirson², Yan Gong¹, Peter B Lillehoj², Wen Li¹ (1: Michigan State University, 2: Rice University)

Session Chair: Dr. Diliang Chen (diliang.chen@unh.edu)

• Stylohyoid and posterior digastric timing evaluation, Adrien Mialland¹, Ihab Atallah², Agnès Bonvilain¹ (1: Université Grenoble Alpes, 2: CHU Grenoble Alpes)
• Advancements in Face Alignment Evaluation for Contact-less Vital Sign Detection, Jicheng Li¹, Roghayeh Leila Barmaki¹, Li Zhu², Korosh Vatanparvar², Migyeong Gwak², Jilong Kuang², Alex Gao² (1: University of Delaware, 2: Samsung Research America)
• A Vocal Model to Predict Readiness under Sleep Deprivation, James Williamson¹, Elizabeth Godoy², Thomas Quatieri¹ (1: MIT Lincoln Laboratory, 2: SLB)
• MRI-Compatible Patient-specific Continuum Robots using Parametric Modelling, Arjun B S, Ajay Krishnan A, Hardik J. Pandya (Indian Institute of Science Bangalore)
• A generic drift reduction technique for orientation estimation from biomechanical angular velocity, Anne Haitjema¹, Frank J Wouda¹, Jasper Reenalda¹, Kim Sunesen², Bert-Jan van Beijnum¹, Peter Veltink¹ (1: University of Twente, 2: Movella Technologies)

Session Chair: Dr. Amar Basu (amar.basu@wayne.edu)

• HBOD: A Novel Dataset with Synchronized Hand, Body, and Object Manipulation Data for Human-Robot Interaction, Peiqi Kang¹, Kezhe Zhu¹, Shuo Jiang², Bin He², Peter Shull¹ (1: Shanghai Jiao Tong University, 2: Tongji University)
• Preliminary feasibility of a wrist-worn receiver to measure medication adherence via an ingestible radiofrequency sensor, Charlotte Goldfine¹, Yassir Mohamed², Georgia Goodman¹, Hannah Albrechta², Joanne Hokayem², Kenneth Mayer², Conall OCleirigh³, Jasper Lee,³ Adam Standley⁴, Pamela Alpert⁴, Chris Carnes⁴, Peter R Chai¹ (1: Brigham and Women’s Hospital, 2: The Fenway Institute, 3: Massachusetts General Hospital, 4: eTectRx)
• Smart Insole Based Shuffling Detection System for Improved Gait Analysis in Parkinson’s Disease, Stella Ansah, Femi Olugbon, Sajay Arthanat, Dain P LaRoche, Diliang Chen (University of New Hampshire)
• A New Technique to Estimate the Cole Model for Bio-impedance Spectroscopy with the High-Frequency Characteristics Estimation, Sina Razaghi, Ebenezer Asabre, Abu Bony Amin, Yeonsik Noh (University of Massachusetts Amherst)

Session Chair: Dr. Richard Fletcher (fletcher@media.mit.edu)

• Daily Activity Profiles and Activity Fluctuations Correlate with BMI, James Williamson¹, Brian Telfer¹, Karl E Friedl² (1: MIT Lincoln Laboratory, 2: United States Army Research Institute of Environmental Medicine)
• Efficient Deep Learning on Wearable Physiological Sensor Data for Pilot Flight Performance Analysis, Patrick W Moore¹, Hrishikesh Rao², Christine Beauchene², Emilie Cowen², Sophia Yuditskaya², Thomas Heldt³, Laura Brattain² (1: Air Force, 2: MIT Lincoln Laboratory, 3: Massachusetts Institute of Technology)
• Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach, Elahe Khatibi¹, Mahyar Abbasian¹, Iman Azimi¹, Sina Labbaf¹, Mohammad Feli², Jessica Borelli¹, Nikil Dutt¹, Amir M. Rahmani¹ (1: University of California Irvine, 2: University of Turku)
• Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings, Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Jessica Borelli, Nikil Dutt, Amir M. Rahmani, Christopher Marcotullio, Hana Qureshi, Brenda Nguyen (University of California Irvine)
• Automated freezing of gait assessment with deep learning and data augmentation from simulated inertial measurement unit data, Benjamin Filtjens¹, Po-Kai Yang¹, Maaike Goris¹, Moran Gilat¹, Niklas Kempynck², Pieter Ginis¹, Alice Nieuwboer¹, Peter Slaets¹, Bart Vanrumste¹ (1: KU Leuven, 2: VIB-KU Leuven)

Technical Posters

• [P1]     Layer-Wise Learning Framework for Efficient DNN Deployment in Biomedical Wearable Systems
• [P2]     Evaluation of Carotid Artery Blood Pressure Waveform Using a Wearable Ultrasound Patch
• [P3]     TinyML optimization for activity classification on the resource-constrained body sensor BI-Vital
• [P4]     Non disturbance gait signal acquisition insole for daily monitoring
• [P5]     Estimated ankle/knee joint moments in ambulatory running: an AI-driven inverse dynamics approach
• [P6]     Lightweight markerless identification of temporal gait outcomes with BlazePose
• [P7]     Detection of glycemic excursions in type 1 diabetes using morphological and time-domain features
• [P8]     Gaze Tracking Control System for Wheelchair and Smart Home Automation
• [P9]     Physiological Markers Reveal Confounding Effects of Apprehension and Habituation During Stress Protocol
• [P10]   Intake Gesture Detection With IMU Sensor in Free-Living Environments: The Effects of Measuring Two-Hand Intake and Down-Sampling
• [P11]   Task-Related and Resting-State EEG Classification of Adult Patients with ADHD Using Machine Learning
• [P12]   Earlier identification of hypertensive events in a telemonitoring system
• [P13]   Enhancing the Reliability of Wearable Cardiac Monitoring using Accelerometer Activity Data
• [P14]   DC Component of Green PPG from Earlobe Correlates with Mean Arterial Pressure in Resting Supine Subjects
• [P15]   System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children
• [P16]   A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy
• [P18]   Using Network Analysis to Examine the Relationship between Specific Panic Symptoms and Heart Rate Variability
• [P19]   Self-Supervised Learning for Ultrasound Probe Angle Prediction in Plantar Fascia Images
• [P20]   Activity State Tracking Under Non-Restricted Ambulatory Condition
• [P21]   Geometric Gait Clustering for Unobtrusive Analysis
• [P22]   Your Sympathetic Nervous System Becomes More Sensitive to Sleep Deprivation When You Speak
• [P23]   ElboSense: A Novel Capacitive Strain Sensor for Textile-Based Elbow Movement Monitoring
• [P24]   A Convex Formulation of Point Process Heartbeat Dynamics using a Gamma Generalized Linear Model
• [P25]   Neonatal Risk Modeling and Prediction
• [P26]   Predicting Adolescent Female Stress with Wearable Device Data Using Machine and Deep Learning
• [P27]   CORRAL: A system for collaborative and patient-centric personalized heart failure care
• [P28]   Predicting Ejection Fraction from Electrocardiogram Signals using a Multi-task Learning Model
• [P29]   Reconstruction of 3-Axis Seismocardiogram from Right-to-left and Head-to-foot Components Using A Long Short-Term Memory Network
• [P30]   Predicting Metabolic Rate for Firefighting Activities with Worn Loads using a Heart Rate Sensor and Machine Learning
• [P31]   Motor Imagery Observed by fNIRS
• [P32]   Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis
• [P33]   Highly Generalized Sleep Posture Recognition Using FMCW Radar
• [P34]   Lancet-free blood sampling and collection for the management of diabetes
• [P35]   Quantitative Evaluation Method of Timed Up and Go Test for Hospitalized Patients Using Inertial Sensors
• [P36]   Enabling Robust Detection of Cardiac Timing Intervals During Hemorrhage While in the Presence of Military Vehicle Vibrations
• [P37]   Modeling the effect of non-exercise activity thermogenesis on peak post-prandial glucose
• [P38]   A proposed pervasive smartphone application for personalised gait rehabilitation
• [P39]   Detection of Respiratory Crackles and Respiration Phase Using a Wearable MEMS Contact Microphone
• [P40]   Optimizing MobileNet Algorithms for Real-time Vessel Detection on Smartphones
• [P41]   Seizure Type Detection Using EEG Signals Based on Phase Synchronization and Deep Learning
• [P42]   A smartphone-based platform for portable, non-invasive, audio and visual neurostimulation with a non-rhythmic sham stimulation mode
• [P43]   Revisiting PIC Method of Remote Respiratory Rate Measurement for Enhanced Robustness
• [P44]   Towards Globalised Models for Fatigue Prediction in Runners using Inertial Measurement Units
• [P45]   Towards Efficient Deep Learning Models for Facial Expression Recognition using Transformers
• [P46]   Designing a High Input-Impedance Buffer for Dry-Electrode Bioimpedance Analysis
• [P47]   Brain-muscle Interaction Analysis with Time-variant Granger Causality
• [P48]   Fine-tuning of pre-processing filters enables scalp-EEG based training of subcutaneous EEG models
• [P49]   Role of caffeine on psycho-motor vigilance: an n-of-1 holistic approach
• [P50]   Towards Analysis-aware EEG Compression in Wearable Computing
• [P51]    Smart Adhesive-based Wireless Device for Perioperative ECG Monitoring
• [P52]    An AI-based App for Skin Cancer Detection
• [P53]    AI Judge:  Leveraging Objective Evaluation of Diving
• [P55]    Toward to Remote Assessment of Cognitive Impairment using Digital Speech Features

Demos

• [D1]   DiMoHub-A Hardware Platform for Rapid Prototyping of Wireless Body Sensor Networks
• [D2]   Respirosonus: Ultrasonic Respiratory Sensing on Commodity Smartphones
• [D3]   Brain-Controlled Robot for Assisting Basic Upper Limb Tasks
• [D4]   Animated Virtual Therapist for People with Parkinson’s Disease
• [D5]   Demo of Inkjet-printed Dry Flexible Electromyography (EMG) Electrodes for Classifying Various Hand Movements with AI Algorithms
• [D6]   VirtualIMU: Generating Virtual Wearable Inertial Data from Video for Deep Learning Applications
• [D7]   Exploring the potential use of IMU data collected from the Samsung Galaxy Watch to assess mobility in stroke survivors

Technical Posters

• [P1]     A Wearable Multipurpose Toxic Gas-Monitoring Device for Industrial Applications
• [P2]     Prototype for Smartphone-based Electroretinogram
• [P3]     Potential of Electrocardiogram-Derived-Respiration based on QRS slopes and R-wave angle for Discriminating Apneic from Non-Apneic Segments
• [P4]     Towards a real-world application of wearable sensors for musculoskeletal disorders prevention: the iFeel Wired Suit
• [P5]     VirtualIMU: Generating Virtual Wearable Inertial Data from Video for Deep Learning Applications
• [P6]     Deep Learning-Based Classification of the Psychiatric Symptoms Severity
• [P7]     Personalized Modeling and Detection of Moments of Cannabis Use in Free-Living Environments
• [P8]     Exploring the Impact of Parkinsons Medication Intake on Motor Exams Performed in-home Using Smart Gloves
• [P9]     Leveraging Ultrasound Sensing for Virtual Object Manipulation in Immersive Environments
• [P10]   Quality Aware Sleep Stage Classification over RIP Signals with Persistence Diagrams
• [P11]   GlucoseAssist: Personalized Blood Glucose Level Predictions and Early Dysglycemia Detection
• [P12]   Unsupervised Learning for Exploring Hidden Structures in Self-Talk
• [P13]   Validating Continuous Ankle Bioimpedance as a Biomarker for Fluid Status in Acute Congestive Heart Failure
• [P14]   Respiratory System Monitoring Based on Low-frequency Transmission Ultrasound Using Wearable Transducers
• [P15]   The Modern Hearing Aid: A Platform for Health and Wellness Tracking
• [P16]   Early Detection of Autism Spectrum Disorder Using Non-Invasive EEG
• [P17]   Rapid, Non-contact Screening Tool for COVID-19 Using Mobile Thermal Imaging and Deep Learning
• [P18]   EMGrip: Integrating an e-textile forearm band with a computer game to detect changes in grip exertion
• [P19]   A Wearable System to Monitor Gait Modification
• [P20]   Persistence Landscape-based Topological Data Analysis for Personalized Arrhythmia Classification
• [P21]   Barriers and Enablers to Use mHealth systems in Sub-Saharan Africa: Perspectives of Patients, Physicians and Healthcare Executives in Ethiopia
• [P22]   Continuous hemodynamic imaging of the palmar digital arteries with a wearable bioimpedance ring
• [P23]   Estimation of Anaerobic Threshold with Time-invariant and Time-varying Transfer Function models in cycling
• [P24]   How will technology change people’s home care in the next 20 years? A strategic foresight study
• [P25]   Analyzing Data from Digital Health Technologies: Key Issues and Strategies
• [P26]   An EDA-based model to distinguish low- from high-sweating healthy subjects in controlled settings
• [P27]   Next-generation bioelectronics enabled by layer transfer of single-crystalline membranes
• [P28]   Continuous Monitoring of Upper Limb Function During Activities of Daily Living using a Wearable Sensor
• [P29]   A metric index to assess the quality of wearable ECG recordings
• [P30]   NFC-powered implantable device for monitoring female hormone levels in assisted reproductive technology
• [P31]   Screening Stage-2 Hypertension from Finger Photoplethysmography
• [P32]   A sensor validation framework for remote monitoring of suicidal patients in mental health wards
• [P33]   Oxidase-based Sensors for Point-of-Care Diabetes Monitoring
• [P34]   Monitored and controlled biomanufacturing of human periosteum-derived cells for cell therapy
• [P35]   Individualised thresholds for exercise prescription using detrended fluctuation analysis of heart rate variability
• [P36]   Multi-modal Architecture for 6-Degree of Freedom Whole-body Avatar Design for VR Yoga Therapy
• [P37]   Pediatric Lumbar Accelerometer Gait Validation
• [P38]   Novel Digital Endpoints of Sleep and Nocturnal Scratch in Atopic Dermatitis
• [P39]   A Handheld 3D-Printed Portable Spectrophotometer with Applications in Urgent Healthcare
• [P40]   A deep learning-based algorithm to estimate the knee flexion-extension angle using a sleeve with optical sensors
• [P41]   Wearable Solutions for Smart Integrated Extreme Environment Health Monitor System
• [P42]   Design of a Wearable Device for Measuring Foot-to-Foot Range during Outdoor Walking Using String Pot Encoder
• [P43]   Using Heart Rate Variability to Estimate Personal Psychosocial Stress
• [P44]   Transforming Data Sharing in Europe: The Role of Secure Processing Environments in the EHDS Framework
• [P45]   Exploiting a human-robot interaction framework using adaptive and proactive memory systems
• [P46]   Understanding the gaps of change management in hospital context
• [P47]   Enhancing Adherence to Treatment: Human-Centered Design in AI-Driven Digital Healthcare Solutions to Address Real-World Stakeholder Needs
• [P48]   Blood pressure estimation during exercise with a cuffless sphygmomanometer
• [P49]   Assessing Psycho-Physical Stress in Occupational Drivers using Commercial Wearable Technologies: The first Steps of the MILESTONE Project
• [P50]   Knee Acoustic Emissions in Osteoarthritis: Clinically-Informative Phases of Flexion-Extension
• [P51]   Ethical AI for free-living fall risk assessment
• [P52]   openTSST – An open web platform for large-scale, video-based motion analysis during acute psychosocial stress
• [P53]   Contactless Heart Rate Estimation using a 61 GHz Continuous-Wave Radar
• [P54]   Benchmarking of Sleep Stage Detection Algorithms on a Large Cohort using Actigraphy, HRV and Respiration Information
• [P55]   AirPredict: a Wearable Sensor-Based App to Track Particulate Matter Exposure and Respiratory Health

Demos

• [D1]   DiMoHub-A Hardware Platform for Rapid Prototyping of Wireless Body Sensor Networks
• [D2]   Respirosonus: Ultrasonic Respiratory Sensing on Commodity Smartphones
• [D3]   Brain-Controlled Robot for Assisting Basic Upper Limb Tasks
• [D4]   Animated Virtual Therapist for People with Parkinson’s Disease
• [D5]   Demo of Inkjet-printed Dry Flexible Electromyography (EMG) Electrodes for Classifying Various Hand Movements with AI Algorithms
• [D6]   VirtualIMU: Generating Virtual Wearable Inertial Data from Video for Deep Learning Applications
• [D7]   Exploring the potential use of IMU data collected from the Samsung Galaxy Watch to assess mobility in stroke survivors

Technical Posters

• [P1]     Enable care of older cancer survivors with digital health technologies: the LifeChamps project
• [P2]     A Self-Powered Flexible Wearable Sensor for Activity Recognition
• [P3]      Remote Monitoring of Instrumental Activities of Daily Living to differentiate between Individuals with Dementia, Mild Cognitive impairment, and Cognitively Health
• [P4]      Leveraging sleep reports derived from wrist-worn wearable data to quantify inclusion/exclusion criteria in clinical trials
• [P5]      An NFC-powered semi-wearable stress sensor for continuous measurement of cortisol levels as an underlying reason in Bruxism patients
• [P6]      Multiplex textile-based sensor to monitor three important biomarkers in space crew members
• [P7]      Real-Time Signal Processing of Mu Wave Modulation for Brain-Computer Interfaces
• [P8]      MindGame:  A Digital Puzzle Game Integrated with Wearables to Monitor Hyperactivity and Inattentive Symptoms of ADHD
• [P9]    Non-Contact Cardio-Pulmonary Resuscitation Compression Action Quality Monitoring Based on Depth Camera
• [P10]    Directed Information Flow between Needle and Surface Electrodes
• [P11]    Context-aware monitoring of patients with neurological disease caused impairment of upper-limb functions in free living
• [P12]    An interoperable data collection infrastructure to execute massive data-driven clinical trials
• [P13]    BFVM:  An NIR Video-Based System for Estimating Blood Flow via Vascular Motions
• [P14]    Fall Detection using Knowledge Distillation Based LSTM for Offline Embedded and Low Power Devices
• [P15]    Integrating Real-Time Physiological Monitoring using Heart Rate and Skin Conductance during VR Exposure Therapy for Panic Disorder
• [P16]    Passive Tracking of Gait Biomarkers in Older Adults: Feasibility of an Acoustic Based Approach for Non-Intrusive Gait Analysis
• [P18]    An IoT-based Biosignal Data Acquisition System for Advancing Clinical Research and Exercise Studies
• [P19]    Estimation of Symptom Severity in Major Depressive Disorder with Acoustic Features
• [P20]    Privacy-Preserved Data Anonymization in Wellness and Sports Research Using Biofluids and Biosignal Data with Secure Hashing
• [P21]    GLUCOMFORT: A noninvasive tattoo-based continuous GLUCOse Monitoring electronic system FOR Type-1 diabetes individuals
• [P22]   Real-Time Hypoglycemia Forecasting using a Novel mHealth Platform for Post-Bariatric Surgery Population
• [P23]    Towards Multi-task Classification of Seizures using Wearable Device Data
• [P24]    Minimalist Activity Recognition with Inertial Measurement Units
• [P25]    Full-body motion assessment of X-linked dystonia parkinsonism with sensing technology
• [P26]    Human Pose Estimation for Assessing Tai Chi Proficiency in Older Adults
• [P28]    Optimal Intermittent Pneumatic Compression Timing With Deep Reinforcement Learning
• [P29]    Recover-on-Track:  A LiDAR and Video-based Tool for Stroke Telerehabilitation
• [P30]    Using wearable sensors to assess the severity of gait deviations in children with cerebral palsy
• [P31]    Miniaturized Silicon Spiral Coils for Chip-Scale Medical Implants
• [P32]    A Mobile Health Platform Utilizing Finger-Worn Accelerometers to Monitor and Encourage Upper-Limb Activities in Stroke Survivors
• [P33]    Classifying Walking and Running Using Custom Instrumented Insoles and Machine Learning
• [P34]    Movement Differences in Children with ADHD and Internalizing Disorders
• [P35]    Real-time Dual-feature Mental Fatigue State SVM Classification using EEG Delta Bandpower
• [P36]    Actigraphy pilot study to compare baseline performance of canonical sleep algorithms
• [P37]    A wearable robot for upper-limb gravity support using a direct-drive linear motor
• [P38]    Prototyping of a Digital Health Application for Visualizing Life-long Personal Medical History
• [P39]    Tele-Frailty Meter: Bridging Distances in Cognitive Frailty Assessment with a 20-Second Video-Based Approach
• [P40]    Multi-Modal Remote Monitoring of ALS using Wearable Sensors and Digital Assessments
• [P41]    Smartphone-Based Blood Pressure Monitoring

Clinical Posters

• [P42]   Byndr™ communication protocol provides reliable wireless physiologic data flow
• [P43]   Model of nap detection from actigraphy data and its application to a study with narcolepsy type 1 and healthy participants
• [P44]   Analytical validation of pediatric digital health technologies for use in decentralized
• [P45]   Efficient RF Energy Harvesting for IoT Cardio Stimulator Devices in the ISM Band through Enhancing Rectenna Performance and Power Management
• [P46]   Exploring Remote Frailty Monitoring to Investigate Frailty Phenotypes Linked to Poor Diabetic Wound Healing
• [P47]   Accuracy of a New Wireless Heart Rate Monitoring System in the Neonatal Intensive Care
• [P48]   Analytical validation of Withings digital health technologies for use in decentralized clinical trials
• [P49]   Enhancing Healing Outcomes: A Holistic Visualization Approach and Remote Patient Monitoring for Identifying Key Factors Associated with Poor Healing
• [P50]   ORCAV: Medical Imaging Service for Rural Areas in Indonesia
• [P51]   Enhancing Chemotherapy Resilience in Veterans: Monitoring Digital Biomarkers of Frailty with Wearable Sensors to Assess Chemotherapy Toxicity
• [P52]   Evaluating the impact of simulator-based neurosurgical resident training on wrist tremor using a smartwatch
• [P53]   Assessing the Efficacy and Utility of Wearables for Perioperative Patient Monitoring
• [P54]   Implementation of continuous respiratory monitoring during post-anesthesia recovery in a clinical trial
• [P55]   Analytical validation and feasibility assessment of a smart blood pressure monitor for use in decentralized clinical trials

Demos

• [D1]   DiMoHub-A Hardware Platform for Rapid Prototyping of Wireless Body Sensor Networks
• [D2]   Respirosonus: Ultrasonic Respiratory Sensing on Commodity Smartphones
• [D3]   Brain-Controlled Robot for Assisting Basic Upper Limb Tasks
• [D4]   Animated Virtual Therapist for People with Parkinson’s Disease
• [D5]   Demo of Inkjet-printed Dry Flexible Electromyography (EMG) Electrodes for Classifying Various Hand Movements with AI Algorithms
• [D6]   VirtualIMU: Generating Virtual Wearable Inertial Data from Video for Deep Learning Applications
• [D7]   Exploring the potential use of IMU data collected from the Samsung Galaxy Watch to assess mobility in stroke survivors