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
.

Journals
- 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
- 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
- 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 View
- 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, Dammen T, Jagomägi T, Oddsson S, Skifjeld K, Verbraecken J, Georgia T, Penzel T, Ryan S, Steiropoulos P, Pépin J, Schiza S, Basoglu O, Bušková J, Testelmans D, Staats R, Gouveris H, Lombardi C, Bonsignore M, Fanfulla F, Hein H, Randerath W, Pataka A, Mihaicuta S, Saaresranta T, Anttalainen U, Dogas Z, Śliwiński P, Drummond M, Nemeth P. The Sleep Revolution project: the concept and objectives. Journal of Sleep Research 2022;31(4) View
- 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 2022 View