Activity-Based Sleep-Wake Identification: An Empirical Test of Methodological Issues

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ID: 292437
1994
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Abstract
The effects of actigraph placement and device sensitivity on actigraphic automatic sleep-wake scoring were assessed using concomitant polysomnographic and wrist actigraphic data from dominant and nondominant hands of 20 adults and 16 adolescents during 1 laboratory night. Although activity levels differed between dominant and nondominant wrists during periods of sleep (F = 4.57; p < 0.05) and wake (F = 15.5; p < 0.0005), resulting sleep–wake scoring algorithms were essentially the same and were equally explanatory (R2 = 0.64; p < 0.0001). When the sleep-wake scoring algorithm derived from the nondominant hand was used to score the nondominant data for sleep-wake, overall agreement rates with polysomnography scoring ranged between 91 and 93% for the calibration and validation samples. Results obtained with the same algorithm for the dominant-wrist data were within the same range. Agreement for sleep scoring was consistently higher than for wake scoring. Statistical manipulation of activity levels before applying the scoring algorithm indicated that this algorithm is quite robust toward moderate changes in activity level. Use of "twin-wrist actigraphy" enables identification of artifacts that may result from breathing-related motions.
Reference Key
openalex_W1507001215 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Avi Sadeh, Melinda S. Sharkey, Mary A. Carskadon
Journal Sleep & breathing = Schlaf & Atmung
Year 1994
DOI
10.1093/sleep/17.3.201
URL
https://doi.org/10.1093/sleep/17.3.201
Keywords Keywords not found

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