@Article{info:doi/10.2196/10733,
author="Guillodo, Elise
and Lemey, Christophe
and Simonnet, Mathieu
and Walter, Michel
and Baca-Garc{\'i}a, Enrique
and Masetti, Vincent
and Moga, Sorin
and Larsen, Mark
and Ropars, Juliette
and Berrouiguet, Sofian",
title="Clinical Applications of Mobile Health Wearable--Based Sleep Monitoring: Systematic Review",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Apr",
day="1",
volume="8",
number="4",
pages="e10733",
keywords="sleep; eHealth; telemedicine; review; medicine; wearable electronic devices",
abstract="Background: Sleep disorders are a major public health issue. Nearly 1 in 2 people experience sleep disturbances during their lifetime, with a potential harmful impact on well-being and physical and mental health. Objective: The aim of this study was to better understand the clinical applications of wearable-based sleep monitoring; therefore, we conducted a review of the literature, including feasibility studies and clinical trials on this topic. Methods: We searched PubMed, PsycINFO, ScienceDirect, the Cochrane Library, Scopus, and the Web of Science through June 2019. We created the list of keywords based on 2 domains: wearables and sleep. The primary selection criterion was the reporting of clinical trials using wearable devices for sleep recording in adults. Results: The initial search identified 645 articles; 19 articles meeting the inclusion criteria were included in the final analysis. In all, 4 categories of the selected articles appeared. Of the 19 studies in this review, 58 {\%} (11/19) were comparison studies with the gold standard, 21{\%} (4/19) were feasibility studies, 15{\%} (3/19) were population comparison studies, and 5{\%} (1/19) assessed the impact of sleep disorders in the clinic. The samples were heterogeneous in size, ranging from 1 to 15,839 patients. Our review shows that mobile-health (mHealth) wearable--based sleep monitoring is feasible. However, we identified some major limitations to the reliability of wearable-based monitoring methods compared with polysomnography. Conclusions: This review showed that wearables provide acceptable sleep monitoring but with poor reliability. However, wearable mHealth devices appear to be promising tools for ecological monitoring. ",
issn="2291-5222",
doi="10.2196/10733",
url="https://mhealth.jmir.org/2020/4/e10733",
url="https://doi.org/10.2196/10733",
url="http://www.ncbi.nlm.nih.gov/pubmed/32234707"
}