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

Wearable Devices and Sensors (888) Methods and Feasibility Studies (379) mHealth for Data Collection and Research (955) Sleep Monitoring, Sleep Quality, Sleep Disorders (183)

Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24704, first published .
Heart Rate Variability and Firstbeat Method for Detecting Sleep Stages in Healthy Young Adults: Feasibility Study

Heart Rate Variability and Firstbeat Method for Detecting Sleep Stages in Healthy Young Adults: Feasibility Study

Heart Rate Variability and Firstbeat Method for Detecting Sleep Stages in Healthy Young Adults: Feasibility Study

Authors of this article:

Liisa Kuula1 Author Orcid Image ;   Anu-Katriina Pesonen1 Author Orcid Image
Article Authors Cited by (15) Tweetations (7) Metrics

Journals

  1. Imtiaz S. A Systematic Review of Sensing Technologies for Wearable Sleep Staging. Sensors 2021;21(5):1562 View
  2. Hei Y, Yuan T, Fan Z, Yang B, Hu J. Sleep staging classification based on a new parallel fusion method of multiple sources signals. Physiological Measurement 2022;43(4):045003 View
  3. Mann C, Wegner J, Weeß H, Staubach P. Pathobiology of Second-Generation Antihistamines Related to Sleep in Urticaria Patients. Biology 2022;11(3):433 View
  4. Kytö M, Markussen L, Marttinen P, Jacucci G, Niinistö S, Virtanen S, Korhonen T, Sievänen H, Vähä-Ypyä H, Korhonen I, Heinonen S, Koivusalo S. Comprehensive self-tracking of blood glucose and lifestyle with a mobile application in the management of gestational diabetes: a study protocol for a randomised controlled trial (eMOM GDM study). BMJ Open 2022;12(11):e066292 View
  5. Topalidis P, Heib D, Baron S, Eigl E, Hinterberger A, Schabus M. The Virtual Sleep Lab—A Novel Method for Accurate Four-Class Sleep Staging Using Heart-Rate Variability from Low-Cost Wearables. Sensors 2023;23(5):2390 View
  6. Griffiths A, Link K, Haughtigan K, Beer O, Powell L, Royse D. Physiological evidence of escalating stress during COVID-19: a longitudinal assessment of child welfare workers. Journal of Public Child Welfare 2024;18(1):158 View
  7. Shiri R, Väänänen A, Mattila-Holappa P, Kauppi K, Borg P. The Effect of Healthy Lifestyle Changes on Work Ability and Mental Health Symptoms: A Randomized Controlled Trial. International Journal of Environmental Research and Public Health 2022;19(20):13206 View
  8. Xu X, Lian Z. Objective sleep assessments for healthy people in environmental research: A literature review. Indoor Air 2022;32(5) View
  9. Aerts C, Janaqi S, Cochen de Cock V. More sleep, more milk. Journal of Clinical Sleep Medicine 2023;19(8):1563 View
  10. Lal U, Mathavu Vasanthsena S, Hoblidar A. Temporal Feature Extraction and Machine Learning for Classification of Sleep Stages Using Telemetry Polysomnography. Brain Sciences 2023;13(8):1201 View
  11. Höhn C, Hahn M, Lendner J, Hoedlmoser K. Spectral Slope and Lempel–Ziv Complexity as Robust Markers of Brain States during Sleep and Wakefulness. eneuro 2024;11(3):ENEURO.0259-23.2024 View
  12. Hermans L, van Meulen F, Anderer P, Ross M, Cerny A, van Gilst M, Overeem S, Fonseca P. Performance of cardiorespiratory-based sleep staging in patients using beta blockers. Journal of Clinical Sleep Medicine 2024;20(4):575 View
  13. Kong Z, Wei X, Shen M, Cheng Y, Feng J. Interval training has more negative effects on sleep in adolescent speed skaters: a randomized cross controlled trial. Frontiers in Sports and Active Living 2024;6 View
  14. Togo E, Takami M, Ishigaki K. Evaluation of Autonomic Nervous System Function During Sleep by Mindful Breathing Using a Tablet Device: Randomized Controlled Trial. JMIR Nursing 2024;7:e56616 View
  15. Park J, Ahn E, Yoon K, Kim J. Performance of Fitbit Devices as Tools for Assessing Sleep Patterns and Associated Factors. Journal of Sleep Medicine 2024;21(2):59 View