Technical Session & Poster

• 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

• 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

• 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

• 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

• 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

• 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

• 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

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

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
• [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