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This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (1489) Telehealth and Telemonitoring (3196) Wearable Devices and Sensors (1686) mHealth for Telemedicine and Homecare (912) e-Cardiology and Telemonitoring in Cardiology (306) Design and Usability of Consumer Health Tech and Home Monitoring Devices (488)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53977, first published .
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Continuous Monitoring of Heart Rate Variability in Free-Living Conditions Using Wearable Sensors: Exploratory Observational Study

Continuous Monitoring of Heart Rate Variability in Free-Living Conditions Using Wearable Sensors: Exploratory Observational Study

Authors of this article:

Pooja Gaur1 Author Orcid Image ;   Dorota S Temple1 Author Orcid Image ;   Meghan Hegarty-Craver1 Author Orcid Image ;   Matthew D Boyce1 Author Orcid Image ;   Jonathan R Holt1 Author Orcid Image ;   Michael F Wenger1 Author Orcid Image ;   Edward A Preble1 Author Orcid Image ;   Randall P Eckhoff1 Author Orcid Image ;   Michelle S McCombs1 Author Orcid Image ;   Hope C Davis-Wilson1 Author Orcid Image ;   Howard J Walls1 Author Orcid Image ;   David E Dausch1 Author Orcid Image
Article Authors Cited by (13) Tweetations (2) Metrics

Journals

  1. Kantrowitz A, Ben-David K, Morris M, Wittels H, Wishon M, McDonald S, Renaghan E, Feigenbaum L, Wittels S. Pulse rate variability is not the same as heart rate variability: findings from a large, diverse clinical population study. Frontiers in Physiology 2025;16 View
  2. Elfouly T, Alouani A. A Comprehensive Survey on Wearable Computing for Mental and Physical Health Monitoring. Electronics 2025;14(17):3443 View
  3. Nešković Đ, Stojmenova Pečečnik K, Sodnik J, Miljković N. Contactless Pulse Rate Assessment: Results and Insights for Application in Driving Simulators. Applied Sciences 2025;15(17):9512 View
  4. Hegarty-Craver M, Davis-Wilson H, Gaur P, Preble E, Holt J, Boyce M, Eckhoff R, Walls H, Dausch D, Temple D. AlphaWear Platform: Translating Wearable Sensors Data Into Decision Aids Using Open-Source Techniques. Military Medicine 2025;190(Supplement_2):26 View
  5. Lockhart T, Soangra R, Frames C, Lee S, Martin A, Lee S, Gewirtz A. Enhancing Physiological Complexity Through Mindfulness: A Wearable-Based Intervention for First Responders and Their Partners. Healthcare 2026;14(11):1532 View
  6. Romano R, Thorson K. What's in a Mean? Comparing Interbeat Interval Averaging Methods Across Variability Levels and Window Lengths. Psychophysiology 2026;63(7) View
  7. Salo M, Bilous O. Genetic Determinants of the Response to Acute Massive Blood Loss as a Factor in Planning Evacuation Measures in Field Conditions. The Ukrainian Scientific Medical Youth Journal 2026;163(2):48 View
  8. Zhang Y, Liang Y, Guo Y. Heart rate variability and sleep monitoring using single-channel PPG signal analysis: techniques and applications. Archives of Physiology and Biochemistry 2026:1 View
  9. El Amri K, Rabbah N, Zahidi Y, Khalfaoui I, El Moufid M, Machkour N, Medromi H. A hybrid threshold-based transmission and autoencoder framework for energy-efficient IoT-enabled wearable health monitoring. Discover Internet of Things 2026;6(1) View
  10. Wang M, Zhang P, Ma W, Hu-Yan J, Zhang E. Agreement Between Wearable-based Vital-sign Monitoring and Standard Bedside Monitoring in Patients After Knee Arthroscopy. Clinical Medicine Research 2026;15(4):60 View
  11. Djindot C, Chen B, Ntumba I, Chen J, Rao W, Laborde S, Zhao Q. TReMR: Temporal-Relevance mRMR for HRV-Based Glucose Prediction Under Physiological Delay. IEEE Instrumentation & Measurement Magazine 2026;29(8):49 View

Conference Proceedings

  1. Camelo V, Siebra C. Anais do XXV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2025). Um Modelo Sequencial para Identificação do Comprometimento Cognitivo Usando Dados de Acelerômetro View
  2. Georgieva-Tsaneva G. 2026 16th International Conference on Advanced Computer Information Technologies (ACIT). A Hybrid Model for Realistic Heart Rate Variability Simulation Based on Physiological, Stochastic, and Fractal Dynamics View