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](https://asset.jmir.pub/assets/604f67d642f2ec4d0fbc3234345baacb.png 480w,https://asset.jmir.pub/assets/604f67d642f2ec4d0fbc3234345baacb.png 960w,https://asset.jmir.pub/assets/604f67d642f2ec4d0fbc3234345baacb.png 1920w,https://asset.jmir.pub/assets/604f67d642f2ec4d0fbc3234345baacb.png 2500w)
Journals
- 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
- 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
- Jang Y, Sim J, Yang J, Kwon N. Improving heart rate variability information consistency in Doppler cardiogram using signal reconstruction system with deep learning for Contact-free heartbeat monitoring. Biomedical Signal Processing and Control 2022;76:103691 View
- Esgalhado F, Batista A, Vassilenko V, Russo S, Ortigueira M. Peak Detection and HRV Feature Evaluation on ECG and PPG Signals. Symmetry 2022;14(6):1139 View
- 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
- 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
- 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
- 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
- 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
- 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
- Chiang A, Khosla S. Consumer Wearable Sleep Trackers. Sleep Medicine Clinics 2023;18(3):311 View
- 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
- 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
- Prucnal M, Adamczyk K, Polak A. Bioinformatics and Biomedical Engineering. View