Wearable Health Monitoring

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9 papers in the last four weeks, up 80% on the four weeks before. 0.1% of all new papers.

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Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantification
Jun 29, 2026Federico FelizziAlgorithmic Fairness Wearable Health Monitoring
SIIAM, Rome, Italy · enGene Statistics, Basel, Switzerland.
Physically-Constrained Harmonic Separation for Robust Heart and Respiratory Rate Estimation from Wrist Photoplethysmography
Jun 29, 2026Nouhaila Fraihi, Ouassim Karrakchou, Mounir GhoghoHeart Rate Estimation Physics-Informed ML
1TICLab, International University of Rabat, Morocco · College of Computing, Mohammed VI Polytechnic University, Morocco · Faculty of Engineering, University of Leeds, UK
Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection
Jun 23, 2026Louis Simon, Mohamed ChetouaniWearable Health Monitoring
Institut des Systèmes Intelligents et de Robotique Sorbonne University Paris, France
WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic Reasoning
Jun 16, 2026Yuwei Zhang, Tong Xia, Bianca Emmerich +5Biomedical QA Wearable Sensing
University of Cambridge · Tsinghua University · University College London +2
Talking to Your Data: Exploring Embodied Conversation as an Interface for Personal Health Reflection
Jun 16, 2026Nikola Kovacevic, Bastien Husler, Di Zhuang +2Human-AI Interaction Conversational Agents
Department of Computer Science, ETH Zurich, Zurich, Switzerland
An Exploratory Study of Blood Glucose Estimation from Photoplethysmography Signals using Machine Learning
Jun 14, 2026Ruhani Bhatia, Vijval EkboteWearable Sensing Photoplethysmography
Indraprastha Institute of Information Technology, Delhi
CAP: Towards PPG Universal Representation Learning with Patient-level Supervision
Jun 13, 2026Chenyang He, Xinyi Shao, Shun Huang +4Representation Learning Cross-Modal Representation Learning
Nanjing University of Aeronautics and Astronautics Nanjing, Jiangsu, China · Peking University Beijing, Beijing, China · Independent Researcher +1
Ride, Track, and Recover: Pilot Randomized Trial of a Wearable Digital Self-Management Intervention During a Veteran Endurance-Cycling Program
Jun 11, 2026Alan Ta, Nilsu Salgin, Caleb Armstrong +2Mental Health Human-in-the-Loop Evaluation
Department of Industrial and Systems Engineering, Texas A&M University, 3127 TAMU, College Station, TX 77843-3127 · Texas A&M Health Telehealth Institute, 1700 Research Pkwy, Suite 250, College Station, TX 77845
Event-Aligned Analysis of Multi-Rater Pain Assessments Using Continuous Wearable Physiology
Jun 11, 2026Saba A. Farahani, Elahe Khatibi, Thomas D. Hughes +3Inter-Rater Reliability Annotator Disagreement
University of California, Irvine · Irvine, CA, USA
Reducing the Complexity of Deep Learning Models for EEG Analysis on Wearable Devices
Jun 10, 2026Farough Shayeste Roodi, Parham Zilouchian Moghaddam, Mahdi Mohammadi-nasab +3Electroencephalography EEG Seizure Detection
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran · Intelligent Future Technologies (IFT), Mälardalen University, Väster˚as, Sweden · Department of Computer Systems, Tallinn University of Technology (TalTech), Tallinn, Estonia
LLM-Powered Personalized Glycemic Assessment in Type 2 Diabetes with Wearable Sensor Data
Jun 10, 2026Yifan Gao, Yanmin Gong, Yun Shi +1Type 1 Diabetes Time Series Forecasting
Department of Information Systems and Cybersecurity The University of Texas at San Antonio San Antonio, USA · School of Engineering Medicine Texas A&M University Houston, USA · Department of Family and Community Medicine The University of Texas at San Antonio San Antonio, USA
DMT: Demographic Conditioning, Morphology-Enhanced Transformer for Cuffless Blood Pressure Estimation from PPG Signals
Jun 9, 2026Yidan Shen, Neville Mathew, Maham Rahimi +4Photoplethysmography Wearable Health Monitoring
Dept. of Electrical and Computer Engineering University of Houston Houston, USA · Dept. of Engineering Technology University of Houston Houston, USA · Dept. of Cardiovascular Surgery Houston Methodist Hospital Houston, USA +1
Efficient Temporal Modeling for Mobile Sleep Staging via Lightweight Random Attention
May 31, 2026Guisong Liu, Pengfei Wei, Jainsong Zhang +1Sleep Stage Classification Attention Mechanisms
School of Biological Science and Medical Engineering Southeast University Nanjing, China · School of Computer Science & Software Engineering Shenzhen University Shenzhen, China · Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Center Nijmegen, The Netherlands
Longitudinal Multimodal Sensing of Physical Activity and Well-Being in Older Adults
May 29, 2026Flavio Di Martino, Mattia G. Campana, Marcello Magno +2Clinical Outcome Prediction Wearable Sensing
IIT-CNR, Pisa, Italy · IFC-CNR, Pisa, Italy
GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring
May 29, 2026Zechen Li, Keerthana Natarajan, Weizhi Zhang +11Irregular Time-Series Modeling Latent Dynamics Modeling
Google Research · Work done during an internship at Google · University of New South Wales, Sydney
Adaptive data selection improves wearable prediction under low baseline performance
May 29, 2026Ali KargarandehkordiData Selection Training Data Selection
VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data
May 28, 2026Di Zhu, Yu Yvonne Wu, Hong Jia +3Tool-Augmented Language Model Agents LLM Agents
The University of Melbourne, Australia · Dartmouth College, US · University of Auckland, New Zealand +1
CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment
May 21, 2026Amir Mousavi, Erfan Nourbakhsh, Mohammad Sadegh Sirjani +5Electrocardiography Electrocardiogram Foundation Models
Department of Computer Science, College of AI, Cyber and Computing, The University of Texas at San Antonio · Department of Neuroscience, Developmental and Regenerative Biology, College of Sciences, The University of Texas at San Antonio · Department of Educational Psychology, College of Education and Human Development, The University of Texas at San Antonio
Towards a General Intelligence and Interface for Wearable Health Data
May 21, 2026Girish Narayanswamy, Maxwell A. Xu, A. Ali Heydari +37Self-Supervised Pre-Training Clinical Outcome Prediction
1Google Research · University of Washington · University of Illinois Urbana-Champaign +2
Uncertainty Reliability Under Domain Shift: An Investigation for Data-Driven Blood Pressure Estimation in Photoplethysmography
May 18, 2026Mohammad Moulaeifard, Ciaran Bench, Philip J. Aston +1Distribution Shift Robustness Post-Hoc Calibration
AI4Health Department, University of Oldenburg, Oldenburg, Germany · Department of Data Science and AI, National Physical Laboratory, Teddington, United Kingdom · School of Mathematics and Physics, University of Surrey, Surrey, United Kingdom
Multi-site PPG: An In-the-Wild Physiological Dataset from Emerging Multi-site Wearables
May 18, 2026Jiayi Shao, Jiaying Ye, Shengyao Liu +4Wearable Sensing Heart Rate Estimation
University of Washington · 2Purdue University
Towards Family-Grouped Hierarchical Federated Learning on Sub-5KB Models: A Feasibility Study of Privacy-Preserving ECG Monitoring for Ultra-Resource-Constrained Wearables
May 15, 2026Hangyu WuHierarchical Federated Learning Communication-Efficient Distributed Training
Shenzhen Coddie Technology co.,ltd, Shenzhen, 518000, China
A Formative Study of Brief Affective Text as a Complement to Wearable Sensing for Longitudinal Student Health Monitoring
May 14, 2026Tamunotonye Harry, Johanna Hidalgo, Matthew Price +7Sentiment Analysis Wearable Health Monitoring
University of Vermont, USA · University of Vermont, USA2026 MIKAELA IRENE FUDOLIG · Adelaide University, Australia +1
Uncertainty-Driven Anomaly Detection for Psychotic Relapse Using Smartwatches: Forecasting and Multi-Task Learning Fusion
May 13, 2026Nikolaos Tsalkitzis, Panagiotis P. Filntisis, Petros Maragos +1Wearable Health Monitoring Time-Series Anomaly Detection
School of ECE, National Technical University of Athens, Greece · Robotics Institute, Athena Research and Innovation Center, Greece · HERON - Hellenic Robotics Center of Excellence, Athens, Greece
Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography
May 11, 2026Timothy Oladunni, Farouk Ganiyu AdewumiDynamical Systems Photoplethysmography
Department of Computer Science, Morgan State University, Baltimore, MD 21251 USA
A Nonlinear Complexity Index for Wearable PPG Cardiovascular Stability: Multiscale Validation, Systematic Evaluation Correction, and Bayesian Parameter Optimization
May 11, 2026Timothy Oladunni, Farouk Ganiyu AdewumiPhotoplethysmography Wearable Health Monitoring
Department of Computer Science, Morgan State University, Baltimore, MD 21251, USA
Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model
May 10, 2026Zhangdaihong Liu, Chang Liu, Fenglin Liu +4Cross-Modal Representation Learning Masked Autoencoders
Department of Engineering Science, University of Oxford, Oxford OX3 7DQ, UK · Oxford Suzhou Centre for Advanced Research, Suzhou, 215123, China · School of Public Health, Shanghai Jiao Tong University, Shanghai, China
WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms
May 9, 2026Peng Cao, Zhijian Yang, Tennison Liu +17Self-Supervised Time Series Representation Learning Hierarchical Representation Learning
Google Research · University of Washington · MIT
Emergent Symbolic Structure in Health Foundation Models: Extraction, Alignment, and Cross-Modal Transfer
May 8, 2026Gajendra Katuwal, Advait Koparkar, Salar Abbaspourazad +2Cross-Modal Learning Representation Learning
Apple
Domain-Adaptive Arrhythmia Classification Using a Hybrid Transformer on Wearable Heart Signals
May 5, 2026Maedeh H. Toosi, Siamak MohammadiTransformer Domain Adaptation
School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran

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Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantification

Federico Felizzi

SIIAM, Rome, Italy · enGene Statistics, Basel, Switzerland.

Algorithmic Fairness Wearable Health Monitoring Clinical Risk Prediction Regression Prediction Intervals Tabular Regression

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Structured tabular data dominates clinical medicine, yet existing benchmarks fail to reflect real-world properties like complex survey sampling, demographic oversampling, and subgroup fairness. We introduce the NHANES Accelerometry Cardiometabolic Benchmark, derived from NHANES 2003-2006, comprising 1,381 adults with hip-worn accelerometry, fasting laboratory biomarkers, dietary intake, and anthropometrics. We evaluate three tabular learning methods -- ridge regression, XGBoost, and the foundation model TabPFN v2 -- to predict glycated haemoglobin (HbA1c), fasting triglycerides, and C-reactive protein (CRP) from activity phenotypes and lifestyle covariates. TabPFN v2 achieves the best overall performance (HbA1c R^2=0.156, CRP R^2=0.383), while triglycerides remain largely unpredictable (R^2 < 0.05), consistent with known genetic dominance. We apply split conformal prediction to generate distribution-free 90% prediction intervals and evaluate demographic coverage equity across sex and race/ethnicity subgroups. Marginal coverage aligns with the 90% target for CRP and HbA1c but falls below for triglycerides. At the subgroup level, we observe localized undercoverage (e.g., HbA1c for Mexican American participants), illustrating the gap between marginal guarantees and the conditional coverage required for clinical fairness. Code and data are at https://github.com/felizzi/nhanes-accel-cardiometabolic-benchmark.

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