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

Formative Evaluation of Digital Health Interventions (2830) Wearable Devices and Sensors (1000) Sleep Monitoring, Sleep Quality, Sleep Disorders (229) mHealth for Data Collection and Research (1084)

Published on in Vol 6, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31807, first published .
Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study

Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study

Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study

Authors of this article:

María Óskarsdóttir1, 2 Author Orcid Image ;   Anna Sigridur Islind1, 2 Author Orcid Image ;   Elias August2, 3 Author Orcid Image ;   Erna Sif Arnardóttir1, 2, 3, 4 Author Orcid Image ;   François Patou5, 6 Author Orcid Image ;   Anja M Maier5, 7 Author Orcid Image
Article Authors Cited by (11) Tweetations (7) Metrics

Journals

  1. Piccini J, August E, Óskarsdóttir M, Arnardóttir E. Using the electrodermal activity signal and machine learning for diagnosing sleep. Frontiers in Sleep 2023;2 View
  2. Sturludóttir J, Sigurðardóttir S, Serwatko M, Arnardóttir E, Hrubos-Strøm H, Clausen M, Sigurðardóttir S, Óskarsdóttir M, Islind A. Deep learning for sleep analysis on children with sleep-disordered breathing: Automatic detection of mouth breathing events. Frontiers in Sleep 2023;2 View
  3. Pires G, Arnardóttir E, Islind A, Leppänen T, McNicholas W. Consumer sleep technology for the screening of obstructive sleep apnea and snoring: current status and a protocol for a systematic review and meta‐analysis of diagnostic test accuracy. Journal of Sleep Research 2023;32(4) View
  4. Arnardottir E, Islind A, Óskarsdóttir M, Ólafsdóttir K, August E, Jónasdóttir L, Hrubos‐Strøm H, Saavedra J, Grote L, Hedner J, Höskuldsson S, Ágústsson J, Jóhannsdóttir K, McNicholas W, Pevernagie D, Sund R, Töyräs J, Leppänen T. The Sleep Revolution project: the concept and objectives. Journal of Sleep Research 2022;31(4) View
  5. Chouraki A, Tournant J, Arnal P, Pépin J, Bailly S. Objective multi-night sleep monitoring at home: variability of sleep parameters between nights and implications for the reliability of sleep assessment in clinical trials. SLEEP 2023;46(5) View
  6. Willoughby A, Alikhani I, Karsikas M, Chua X, Chee M. Country differences in nocturnal sleep variability: Observations from a large-scale, long-term sleep wearable study. Sleep Medicine 2023;110:155 View
  7. Hardarson E, Islind A, Arnardottir E, Óskarsdóttir M. Error Propagation from Sleep Stage Classification to Derived Sleep Parameters in Machine Learning on Data from Wearables. Current Sleep Medicine Reports 2023;9(3):140 View
  8. Antle M. The controversy over daylight saving time: evidence for and against. Current Opinion in Pulmonary Medicine 2023;29(6):574 View
  9. Korkalainen H, Kainulainen S, Islind A, Óskarsdóttir M, Strassberger C, Nikkonen S, Töyräs J, Kulkas A, Grote L, Hedner J, Sund R, Hrubos-Strom H, Saavedra J, Ólafsdóttir K, Ágústsson J, Terrill P, McNicholas W, Arnardóttir E, Leppänen T. Review and perspective on sleep-disordered breathing research and translation to clinics. Sleep Medicine Reviews 2024;73:101874 View
  10. Nauha L, Farrahi V, Jurvelin H, Jämsä T, Niemelä M, Ala-Mursula L, Kangas M, Korpelainen R. Regularity of bedtime, wake-up time, and time in bed in mid-life: associations with cardiometabolic health markers with adjustment for physical activity and sedentary time. Journal of Activity, Sedentary and Sleep Behaviors 2024;3(1) View
  11. Qin S, Chee M. The Emerging Importance of Sleep Regularity on Cardiovascular Health and Cognitive Impairment in Older Adults: A Review of the Literature. Nature and Science of Sleep 2024;Volume 16:585 View