Assessing the performance of a commercial multisensory sleep tracker.

Autor: Mouritzen NJ; Department of Neurology, Center of Neurophysiology, Zealand University Hospital, Roskilde, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark., Larsen LH; Department of Neurology, Center of Neurophysiology, Zealand University Hospital, Roskilde, Denmark., Lauritzen MH; Department of Neurology, Center of Neurophysiology, Zealand University Hospital, Roskilde, Denmark., Kjær TW; Department of Neurology, Center of Neurophysiology, Zealand University Hospital, Roskilde, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2020 Dec 11; Vol. 15 (12), pp. e0243214. Date of Electronic Publication: 2020 Dec 11 (Print Publication: 2020).
DOI: 10.1371/journal.pone.0243214
Abstrakt: Wearable sleep technology allows for a less intruding sleep assessment than PSG, especially in long-term sleep monitoring. Though such devices are less accurate than PSG, sleep trackers may still provide valuable information. This study aimed to validate a commercial sleep tracker, Garmin Vivosmart 4 (GV4), against polysomnography (PSG) and to evaluate intra-device reliability (GV4 vs. GV4). Eighteen able-bodied adults (13 females, M = 56.1 ± 12.0 years) with no self-reported sleep disorders were simultaneously sleep monitored by GV4 and PSG for one night while intra-device reliability was monitored in one participant for 23 consecutive nights. Intra-device agreement was considered sufficient (observed agreement = 0.85 ± 0.13, Cohen's kappa = 0.68 ± 0.24). GV4 detected sleep with high accuracy (0.90) and sensitivity (0.98) but low specificity (0.28). Cohen's kappa was calculated for sleep/wake detection (0.33) and sleep stage detection (0.20). GV4 significantly underestimated time awake (p = 0.001) including wake after sleep onset (WASO) (p = 0.001), and overestimated light sleep (p = 0.045) and total sleep time (TST) (p = 0.001) (paired t-test). Sleep onset and sleep end differed insignificantly from PSG values. Our results suggest that GV4 is not able to reliably describe sleep architecture but may allow for detection of changes in sleep onset, sleep end, and TST (ICC ≥ 0.825) in longitudinally followed groups. Still, generalizations are difficult due to our sample limitations.
Competing Interests: Garmin® kindly borrowed us GV4 watches to perform our experiment. This had no influence on our study design, data analysis, results or conclusions and does not alter our adherence to the PLOS ONE policies on sharing data and materials.
Databáze: MEDLINE
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