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

Development of Novel Medical Devices and Innovations for Existing Devices (80) Wearable Devices and Sensors (888) Novel Sensors and Data Acquisition Methods in Cardiology (196)

Published on in Vol 5, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17355, first published .
Measuring Heart Rate Variability in Free-Living Conditions Using Consumer-Grade Photoplethysmography: Validation Study

Measuring Heart Rate Variability in Free-Living Conditions Using Consumer-Grade Photoplethysmography: Validation Study

Measuring Heart Rate Variability in Free-Living Conditions Using Consumer-Grade Photoplethysmography: Validation Study

Authors of this article:

Emily Lam1 Author Orcid Image ;   Shahrose Aratia2 Author Orcid Image ;   Julian Wang3 Author Orcid Image ;   James Tung4 Author Orcid Image
Article Authors Cited by (15) Tweetations (6) Metrics

Journals

  1. Hoog Antink C, Mai Y, Peltokangas M, Leonhardt S, Oksala N, Vehkaoja A. Accuracy of heart rate variability estimated with reflective wrist-PPG in elderly vascular patients. Scientific Reports 2021;11(1) View
  2. Lui G, Loughnane D, Polley C, Jayarathna T, Breen P. The Apple Watch for Monitoring Mental Health–Related Physiological Symptoms: Literature Review. JMIR Mental Health 2022;9(9):e37354 View
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  5. Polak A, Klich B, Saganowski S, Prucnal M, Kazienko P. Processing Photoplethysmograms Recorded by Smartwatches to Improve the Quality of Derived Pulse Rate Variability. Sensors 2022;22(18):7047 View
  6. Godkin F, Turner E, Demnati Y, Vert A, Roberts A, Swartz R, McLaughlin P, Weber K, Thai V, Beyer K, Cornish B, Abrahao A, Black S, Masellis M, Zinman L, Beaton D, Binns M, Chau V, Kwan D, Lim A, Munoz D, Strother S, Sunderland K, Tan B, McIlroy W, Van Ooteghem K. Feasibility of a continuous, multi-sensor remote health monitoring approach in persons living with neurodegenerative disease. Journal of Neurology 2022;269(5):2673 View
  7. Rogers B, Schaffarczyk M, Gronwald T. Estimation of Respiratory Frequency in Women and Men by Kubios HRV Software Using the Polar H10 or Movesense Medical ECG Sensor during an Exercise Ramp. Sensors 2022;22(19):7156 View
  8. Li C, Ly F, Woodhouse K, Chen J, Cheng Z, Santander T, Ashar N, Turki E, Yang H, Miller M, Petzold L, Hansma P. Dynamic Phase Extraction: Applications in Pulse Rate Variability. Applied Psychophysiology and Biofeedback 2022;47(3):213 View
  9. Weber K, Godkin F, Cornish B, McIlroy W, Van Ooteghem K. Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study. JMIR Formative Research 2023;7:e41685 View
  10. Sato S, Hiratsuka T, Hasegawa K, Watanabe K, Obara Y, Kariya N, Shinba T, Matsui T. Screening for Major Depressive Disorder Using a Wearable Ultra-Short-Term HRV Monitor and Signal Quality Indices. Sensors 2023;23(8):3867 View
  11. Chiang A, Khosla S. Consumer Wearable Sleep Trackers. Sleep Medicine Clinics 2023;18(3):311 View
  12. Siddi S, Bailon R, Giné-Vázquez I, Matcham F, Lamers F, Kontaxis S, Laporta E, Garcia E, Lombardini F, Annas P, Hotopf M, Penninx B, Ivan A, White K, Difrancesco S, Locatelli P, Aguiló J, Peñarrubia-Maria M, Narayan V, Folarin A, Leightley D, Cummins N, Vairavan S, Ranjan Y, Rintala A, de Girolamo G, Simblett S, Wykes T, Myin-Germeys I, Dobson R, Haro J. The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity. Psychological Medicine 2023;53(8):3249 View
  13. Jo Y, Lee S, Park S, Lee J. Association between heart rate variability metrics from a smartwatch and self-reported depression and anxiety symptoms: a four-week longitudinal study. Frontiers in Psychiatry 2024;15 View

Books/Policy Documents

  1. Prucnal M, Adamczyk K, Polak A. Bioinformatics and Biomedical Engineering. View