Published on in Vol 24 , No 1 (2022) :January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27487, first published .
Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison With Electrocardiography in Time and Frequency Domains: Comprehensive Analysis

Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison With Electrocardiography in Time and Frequency Domains: Comprehensive Analysis

Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison With Electrocardiography in Time and Frequency Domains: Comprehensive Analysis

Journals

  1. Kheirinejad S, Visuri A, Ferreira D, Hosio S. “Leave your smartphone out of bed”: quantitative analysis of smartphone use effect on sleep quality. Personal and Ubiquitous Computing 2023;27(2):447 View
  2. Nuuttila O, Seipäjärvi S, Kyröläinen H, Nummela A. Reliability and Sensitivity of Nocturnal Heart Rate and Heart-Rate Variability in Monitoring Individual Responses to Training Load. International Journal of Sports Physiology and Performance 2022;17(8):1296 View
  3. de Vries H, Pennings H, van der Schans C, Sanderman R, Oldenhuis H, Kamphuis W. Wearable-Measured Sleep and Resting Heart Rate Variability as an Outcome of and Predictor for Subjective Stress Measures: A Multiple N-of-1 Observational Study. Sensors 2022;23(1):332 View
  4. Burton T, Saiko G, Cao M, Douplik A. Remote photoplethysmography with consumer smartphone reveals temporal differences between glabrous and nonglabrous skin: Pilot in vivo study. Journal of Biophotonics 2023;16(1) View
  5. de Vries H, Oldenhuis H, van der Schans C, Sanderman R, Kamphuis W. Does Wearable-Measured Heart Rate Variability During Sleep Predict Perceived Morning Mental and Physical Fitness?. Applied Psychophysiology and Biofeedback 2023 View
  6. Rentz L, Bryner R, Ramadan J, Rezai A, Galster S. Full-Body Photobiomodulation Therapy Is Associated with Reduced Sleep Durations and Augmented Cardiorespiratory Indicators of Recovery. Sports 2022;10(8):119 View
  7. Zimatore G, Gallotta M, Campanella M, Skarzynski P, Maulucci G, Serantoni C, De Spirito M, Curzi D, Guidetti L, Baldari C, Hatzopoulos S. Detecting Metabolic Thresholds from Nonlinear Analysis of Heart Rate Time Series: A Review. International Journal of Environmental Research and Public Health 2022;19(19):12719 View
  8. Kristiansson E, Fridolfsson J, Arvidsson D, Holmäng A, Börjesson M, Andersson-Hall U. Validation of Oura ring energy expenditure and steps in laboratory and free-living. BMC Medical Research Methodology 2023;23(1) View
  9. Perzycka-Borowska E. Technologizacja dobrostanu. W stronę uczestnictwa ludzkich i nieludzkich aktorów w przeciwdziałaniu zaburzeniom snu. Niepełnosprawność i Rehabilitacja 2022;88(4):76 View
  10. Cao R, Rahmani A, Lindsay K, Scilingo E. Prenatal stress assessment using heart rate variability and salivary cortisol: A machine learning-based approach. PLOS ONE 2022;17(9):e0274298 View
  11. Saarikko J, Axelin A, Huvinen E, Rahmani A, Azimi I, Pasanen M, Niela-Vilén H, Stortz J. Supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (SLIM) -intervention for overweight pregnant women: Study protocol for a quasi-experimental trial. PLOS ONE 2023;18(1):e0279696 View
  12. Hadid A, McDonald E, Cheng M, Papenburg J, Libman M, Dixon P, Jensen D. The WE SENSE study protocol: A controlled, longitudinal clinical trial on the use of wearable sensors for early detection and tracking of viral respiratory tract infections. Contemporary Clinical Trials 2023;128:107103 View
  13. Baumann S, Stone R, Genschel U, Mgaedeh F. The Pi-CON Methodology Applied: Operator Errors and Preference Tracking of a Novel Ubiquitous Vital Signs Sensor and Its User Interface. International Journal of Human–Computer Interaction 2023:1 View