Technical Session
Technical Session #1: Knee & Musculoskeletal Monitoring (Day 1, 10:15 - 11:30 am)
- KneeMS: A Low-Cost Wireless Wearable System to Monitor Knee Acoustic Emissions
- Investigating Optimal Intermittent Pneumatic Compression Timing Across Two Days
- Combining Knee Acoustic Emissions, Patient-Reported Measures, and Machine Learning to Assess Osteoarthritis Severity
- Wearable Active Vibration Sensing for Mid-Activity Knee Health Assessment
- Motor Function Assessment of Children with Cerebral Palsy using Monocular Video
- Subject-Independent Ankle Joint Power Estimation with Two IMUs During Flat and Inclined Walking
Technical Session #2: Cardiovascular & Respiratory Insights (Day 1, 2:45 - 4:00 pm)
- Monitoring coughs using a chest-wearable Respeck
- A Comparative Study of Heart Rate Variability Parameters Estimated from Strain Plethysmography Recordings of Radial and Finger Arteries
- Comparative Analysis of ECG-derived Skin Nerve Activity and Electrodermal Activity for Assessing Sympathetic Activity
- Towards E-Nose Detection of Volatile Organic Compounds as Disease Biomarkers with Complementary Cardiovascular Assessment
- Real-time Detection of Two Subjects’ Respiratory Rates Using Wavelet-Transform-Based 5.8 GHz CW Doppler Radar
- VTMonitor: Tidal Volume Estimation Using Earbuds
Technical Session #3: Specialized Assessments (Day 1, 4:30 - 5:30 pm)
- Predicting Real-time, Recurrent Adverse Invasive Ventilation from Clinical Data Streams
- Characterizing Signal Quality of Three Common Respiratory Sensing Modalities in the Context of Stress and Peripheral Nerve Stimulation
- A pilot study on neonatal ultrasound patterns unraveling associations with obstetric factors
- Assessing Novel Orthostatic Vital Signs with a Wearable Sensor
- Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters
Technical Session #4: Wearable Tech & Power Consumption (Day 2, 10:15 - 11:30 am)
- Power Consumption and Maximum Number of Supported Nodes for BLE Biosensor Applications
- Feasibility of a Wireless Vital Signal Monitoring System in the NICU
- SeismoNet: A Multi-Node Wireless Wearable Platform for Enhanced Physiological Sensing
- Selective Patterning of Liquid Metal-Based Soft Electronics via Laser-Induced Graphene Residue
- Estimated Results of R-R Interval Using a Small Card-Sized VHF-Band Contactless Heartbeat Sensor Module
- Analytical and computational analysis of a wearable impedance sensor for wireless measurements of analytes in bodily fluids
Technical Session #5: Sensing & Monitoring Techniques (Day 2, 2:45 - 4:00 pm)
- Stylohyoid and posterior digastric timing evaluation
- Advancements in Face Alignment Evaluation for Contact-less Vital Sign Detection
- A Vocal Model to Predict Readiness under Sleep Deprivation
- MRI-Compatible Patient-specific Continuum Robots using Parametric Modelling
- A generic drift reduction technique for orientation estimation from biomechanical angular velocity
Technical Session #6: Gait & Mobility Monitoring (Day 2, 4:30 - 5:30 pm)
- HBOD: A Novel Dataset with Synchronized Hand, Body, and Object Manipulation Data for Human-Robot Interaction
- Preliminary feasibility of a wrist-worn receiver to measure medication adherence via an ingestible radiofrequency sensor
- Smart Insole Based Shuffling Detection System for Improved Gait Analysis in Parkinson’s Disease
- A New Technique to Estimate the Cole Model for Bio-impedance Spectroscopy with the High-Frequency Characteristics Estimation
Technical Session #7: Data & Machine Learning in Health (Day 3, 10:15 - 11:30 am)
- Daily Activity Profiles and Activity Fluctuations Correlate with BMI
- Efficient Deep Learning on Wearable Physiological Sensor Data for Pilot Flight Performance Analysis
- Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach
- Unveiling Hidden Patterns: Harnessing the Power of Short PPG-Traces for Atrial Fibrillation Detection
- Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings
- Automated freezing of gait assessment with deep learning and data augmentation from simulated inertial measurement unit data
Demo/Poster
Day 1 Demo/Poster (1:30 - 2:45 pm)
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
- [P17] Body sensor-based Multimodal Nurse Stress Detection using Machine Learning
- [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
- [P54] Screening of candidate bioreceptors for development of a wearable glucose sensor
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
Day 2 Demo/Poster (1:30 - 2:45 pm)
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
Day 3 Demo/Poster (1:30 - 2:45 pm)
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
- [P17] Unobtrusive in-car measurement of physiological signals on the road
- [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