An unbiased, efficient sleep–wake detection algorithm for a population with sleep disorders: change point decoder
Abstract
Study Objectives The usage of wrist-worn wearables to detect sleep–wake states remains a formidable challenge, particularly among individuals with disordered sleep. We developed a novel and unbiased data-driven method for the detection of sleep–wake and compared its performance with the well-established Oakley algorithm (OA) relative to polysomnography (PSG) in elderly men with disordered sleep. Methods Overnight in-lab PSG from 102 participants...
Paper Details
Title
An unbiased, efficient sleep–wake detection algorithm for a population with sleep disorders: change point decoder
Published Date
Feb 1, 2020
Journal
Volume
43
Issue
8
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History