Literature DB >> 21859438

Validation of an automated wireless system to monitor sleep in healthy adults.

John R Shambroom1, Stephan E Fábregas, Jack Johnstone.   

Abstract

The availability of a reliable system to record sleep stage measures easily and automatically in ambulatory settings could be of utility for research and clinical work. The aim of this study was to evaluate a novel wireless system (WS) that does not require skilled preparation for the automatic collection and scoring of human sleep. Twenty-nine healthy adults underwent concurrent sleep measurement via the WS, polysomnography (PSG) and an actigraph (ACT) in a sleep laboratory for one assessment night preceded by an acclimation night. The PSG recordings were scored by two experienced trained technicians from separate laboratories. Each recording was scored by both technicians to Rechtschaffen and Kales (R&K) criteria. The WS and ACT were compared with each of the PSG scores and a consensus PSG score, and the PSG scores were compared with each other. Inter-rater agreement was assessed for each pair over all pooled epochs by percentage agreement, Cohen's kappa and intraclass correlation coefficient. The WS agreement with each of the two PSG scores for sleep stages was 75.8 and 74.7%, respectively. WS agreement with each of the two PSG scores for sleep/wakefulness was 92.6 and 91.1%, ACT agreement with PSG was 86.3 and 85.7%. The PSG scorers' agreement with each other for sleep stages was 83.2%, and for sleep/wakefulness was 95.8%. The findings from the current study indicate that the WS may provide an easy to use and accurate complement to other established technologies for measuring sleep in healthy adults.
© 2011 European Sleep Research Society.

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Mesh:

Year:  2011        PMID: 21859438     DOI: 10.1111/j.1365-2869.2011.00944.x

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


  67 in total

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Authors:  Ping-Ru T Ko; Julie A Kientz; Eun Kyoung Choe; Matthew Kay; Carol A Landis; Nathaniel F Watson
Journal:  J Clin Sleep Med       Date:  2015-12-15       Impact factor: 4.062

7.  Agreement between actigraphic and polysomnographic measures of sleep in adults with and without chronic conditions: A systematic review and meta-analysis.

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8.  A State Space and Density Estimation Framework for Sleep Staging in Obstructive Sleep Apnea.

Authors:  Dae Y Kang; Pamela N DeYoung; Atul Malhotra; Robert L Owens; Todd P Coleman
Journal:  IEEE Trans Biomed Eng       Date:  2017-05-08       Impact factor: 4.538

Review 9.  Has adult sleep duration declined over the last 50+ years?

Authors:  Shawn D Youngstedt; Eric E Goff; Alexandria M Reynolds; Daniel F Kripke; Michael R Irwin; Richard R Bootzin; Nidha Khan; Girardin Jean-Louis
Journal:  Sleep Med Rev       Date:  2015-08-28       Impact factor: 11.609

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

Authors:  Nicola Cellini; Elizabeth A McDevitt; Ashley A Ricker; Kelly M Rowe; Sara C Mednick
Journal:  Behav Sleep Med       Date:  2014-02-24       Impact factor: 2.964

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