Abstract
Objective: Improving and validating sleep scoring algorithms for actigraphs enhances their usefulness in clinical and research applications.The MTI® device(ActiGraph, Pensacola, FL) had not been previously validated for sleep. The aims were to(1)compare the accuracy of sleep metrics obtained via wrist - and hip-mounted MTI® actigraphs with polysomnographic (PSG) recordings in a sample that included both normal sleepers and individual swith presumed sleep disorders; and (2) develop a novel sleep scoring algorithm using spline regression to improve the correspondence between the actigraphs and PSG. Methods: Original actigraphy data were amplified and their pattern was estimated using a penalized spline. The magnitude of amplification and the spline were estimated by minimizing the difference in sleep efficiency between wrist-(hip-)actigraphs and PSG recordings. Sleep measures using both the original and spline-modified actigraphy data were compared to PSG using the following: mean sleep summary measures; Spearman rank-order correlations of summary measures; percent of minute-by-minute agreement; sensitivity and specificity; and Bland–Altmanplots. Results: The original wrist actigraphy data showed modest correspondence with PSG, and much less correspondence was found between hip actigraphy and PSG. The spline-modified.
Original language | English (US) |
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Pages (from-to) | 74-81 |
Number of pages | 8 |
Journal | Sleep Science |
Volume | 7 |
Issue number | 2 |
DOIs | |
State | Published - 2014 |
Keywords
- Actigraphy
- Penalized spline
- Polysomnography
ASJC Scopus subject areas
- Neuroscience (miscellaneous)
- Medicine (miscellaneous)
- Behavioral Neuroscience