Published on in Vol 9, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33754, first published .
Alignment Between Heart Rate Variability From Fitness Trackers and Perceived Stress: Perspectives From a Large-Scale In Situ Longitudinal Study of Information Workers

Alignment Between Heart Rate Variability From Fitness Trackers and Perceived Stress: Perspectives From a Large-Scale In Situ Longitudinal Study of Information Workers

Alignment Between Heart Rate Variability From Fitness Trackers and Perceived Stress: Perspectives From a Large-Scale In Situ Longitudinal Study of Information Workers

Journals

  1. Alugubelli N, Abuissa H, Roka A. Wearable Devices for Remote Monitoring of Heart Rate and Heart Rate Variability—What We Know and What Is Coming. Sensors 2022;22(22):8903 View
  2. D’Mello S, Booth B. Affect Detection From Wearables in the “Real” Wild: Fact, Fantasy, or Somewhere In between?. IEEE Intelligent Systems 2023;38(1):76 View
  3. McLachlan C, Truong H. A Narrative Review of Commercial Platforms Offering Tracking of Heart Rate Variability in Corporate Employees to Detect and Manage Stress. Journal of Cardiovascular Development and Disease 2023;10(4):141 View
  4. Saylam B, İncel Ö. Quantifying Digital Biomarkers for Well-Being: Stress, Anxiety, Positive and Negative Affect via Wearable Devices and Their Time-Based Predictions. Sensors 2023;23(21):8987 View
  5. Velmovitsky P, Lotto M, Alencar P, Leatherdale S, Cowan D, Morita P. Can heart rate variability data from the Apple Watch electrocardiogram quantify stress?. Frontiers in Public Health 2023;11 View
  6. Li K, Cardoso C, Moctezuma-Ramirez A, Elgalad A, Perin E. Heart Rate Variability Measurement through a Smart Wearable Device: Another Breakthrough for Personal Health Monitoring?. International Journal of Environmental Research and Public Health 2023;20(24):7146 View
  7. Lamatungga K, Pichlerová M, Halamová J, Kanovský M, Tamatam D, Ježová D, Pichler V. Forests serve vulnerable groups in times of crises: improved mental health of older adults by individual forest walking during the COVID-19 pandemic. Frontiers in Forests and Global Change 2024;7 View
  8. Gerwin J, de Oliveira Almeida G, Boyce M, Joseph M, Wong A, Burleson W, Evans L. HRVEST: a novel data solution for using wearable smart technology to measure physiologic stress variables during a randomized clinical trial. Frontiers in Computer Science 2024;6 View
  9. Necaise A, Mejia C, Kider J, Shoss M, Amon M. Wearables for Well-Being: A Longitudinal in Situ Study of Smartwatches to Understand and Enhance Line-Level Housekeeping Work. International Journal of Human–Computer Interaction 2025;41(2):1204 View
  10. Räihä K, Katajavuori N, Vehkalahti K, Huotilainen M, Asikainen H. University students’ stress and burnout risk: results of an ACT-based online-course using self-assessments and HRV-measurements. Current Psychology 2024;43(22):20182 View
  11. Callahan C, Kiefer A, DeFreese J, Faurot K, Gaylord S, Register-Mihalik J. Perceived Stress, Mindfulness, and Clinical Concussion Outcomes in Adults with a Concussion History. Translational Journal of the American College of Sports Medicine 2024;9(2) View
  12. Rodríguez-Pellejero J, Mulero-Henríquez I, Santana Amador Z. Real-time stress monitoring in a child-friendly court: a repeated measures field study. Humanities and Social Sciences Communications 2024;11(1) View
  13. Kim J, Foo J, Murata T, Togo F. Reduced heart rate variability is related to fluctuations in psychological stress levels in daily life. Stress and Health 2024;40(5) View
  14. Riaz M, Gravina R. Wearable Sensor Systems to Detect Biomarkers of Personality Traits for Healthy Aging: A Review. IEEE Sensors Journal 2024;24(17):27061 View
  15. Masri G, Al-Shargie F, Tariq U, Almughairbi F, Babiloni F, Al-Nashash H. Mental Stress Assessment in the Workplace: A Review. IEEE Transactions on Affective Computing 2024;15(3):958 View
  16. Freihaut P, Göritz A. Show me How You Use Your Mouse and I Tell You How You Feel? Sensing Affect With the Computer Mouse. IEEE Transactions on Affective Computing 2024;15(3):1490 View
  17. Suffoletto B. Commentary on Östh et al.: Sensor‐based approaches to inform alcohol interventions – beyond BAC. Addiction 2025;120(5):919 View
  18. Anser M, Nabi A, Ahmad I, Abro M, Zaman K. Advancing Mental Health Care: A Comprehensive Review of Digital Tools and Technologies for Enhancing Diagnosis, Treatment, and Wellness. Health Care Science 2025;4(3):163 View
  19. Hannon J, O’Hagan A, Lambe R, O’Grady B, Doherty C. Associations Between Daily Heart Rate Variability and Self-Reported Wellness: A 14-Day Observational Study in Healthy Adults. Sensors 2025;25(14):4415 View
  20. Carpenter S, Roberts N. Precision Emotion and Affective Context (PEAC) process model: a theoretical framework for creating the affective circumstances that promote engagement. Frontiers in Psychology 2025;16 View
  21. Deb S, Kim N, Parolin B, Renshaw D, Zariwala M. The effects of formulated palmitoylethanolamide supplementation on indicators of stress and heart rate variability in female university students: a randomised cross-over trial. Frontiers in Nutrition 2025;12 View
  22. Urueta Tapia D, Corliss H, Lee K, Calzo J, Jun H. Assessing Minority Stress and Physiological Response Through Ecological Momentary Assessment and Sensors: Protocol for a Feasibility and Acceptability of the Stress and Heart Pilot Study. JMIR Formative Research 2025;9:e68733 View
  23. Schneider M, Rominger C, Schwerdtfeger A. Associations Between Positive Affect and Heart Rate Variability: A Systematic Review. Current Cardiology Reports 2025;27(1) View
  24. Hernandez R, Schneider S, de Vries H, Fanning J, Ehrmann D, Jin H, Moore R, Juengst S, Striegel A, Ginsberg J, Hermanns N, Stone A. Resting Heart Rate Variability Measured by Consumer Wearables and Its Associations with Diverse Health Domains in Five Longitudinal Studies. Sensors 2025;25(23):7147 View
  25. den Duijn J, Hajjaj A, Kellett J, Frischknecht Christensen E, Haak H, Brabrand M, Nickel C, Nanayakkara P, Subbe C, Alsma J. Using Patient-Held Devices to Measure Variations in Resting Heart Rate and Step Count Prior to Presentation With an Acute Illness: International, Multicenter Flash Mob Feasibility Study. JMIR Cardio 2025;9:e76218 View

Conference Proceedings

  1. Sim S, Paranjpe T, Roberts N, Zhao M. 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA). Exploring Edge Machine Learning-based Stress Prediction using Wearable Devices View
  2. Hasan M, Zaman S, Wesley A, Tsiamyrtzis P, Pavlidis I. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Sympathetic Activation in Deadlines of Deskbound Research - A Study in the Wild View
  3. Li B, Tavakoli A, Wang A, Kaur N, Barnes L, Doryab A, Heydarian A. Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring View
  4. Lebamovski P, Gospodinova E. Proceedings of the 24th International Conference on Computer Systems and Technologies. Creating an extreme 3D game to study the impact of stress on cardiac data View