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. 2015;13(2):157-68.
doi: 10.1080/15402002.2013.845782. Epub 2014 Feb 24.

Validation of an automated wireless system for sleep monitoring during daytime naps

Affiliations

Validation of an automated wireless system for sleep monitoring during daytime naps

Nicola Cellini et al. Behav Sleep Med. 2015.

Abstract

An automated wireless system (WS) for sleep monitoring was recently developed and validated for assessing nighttime sleep. Here, we aimed to evaluate the validity of the WS to correctly monitor daytime sleep during naps compared to polysomnography (PSG). We found that the WS underestimated wake, sleep onset latency, and wake after sleep onset. Meanwhile, it overestimated total sleep time, sleep efficiency, and duration of REM sleep. Sensitivity was moderate for wake (58.51%) and light sleep (66.92%) and strong for deep sleep (83.46%) and REM sleep (82.12%). These results demonstrated that the WS had a low ability to detect wake and systematically overscored REM sleep, implicating the WS as an inadequate substitute for PSG in diagnosing sleep disorders or for research in which sleep staging is essential.

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Conflict of interest statement

Conflicts of interest disclosure: Wireless systems were donated by Zeo, Inc. to Sara C. Mednick. Nicola Cellini, Elizabeth A. McDevitt, Ashley A. Ricker and Kelly M. Rowe declare the absence of any conflicts of interest.

Figures

Fig. 1
Fig. 1
Bland-Altman plots of PSG and WS for sleep parameters. Only the significant parameters are shown. The y-axis indicates the differences between the WS score minus the PSG score, whereas the x-axis showed the average of their scoring. The bias represents the mean difference between the devices for a specific parameter, with values above zero meaning a overestimation and the values below zero meaning an underestimation of the WS relative to PSG. The limits of agreement (± 2 SD) are depicted as dashed-dotted lines.

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