A novel method to increase specificity of sleep-wake classifiers based on wrist-worn actigraphy.
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DOI: 10.1080/07420528.2023.2188096
Abstract: The knowledge of the distribution of sleep and wake over a 24-h day is essential for a comprehensive image of sleep-wake rhythms. Current sleep-wake scoring algorithms for wrist-worn actigraphy suffer from low specificities, which leads… read more here.
Keywords: wrist worn; worn actigraphy; sleep wake; wake classifiers ... See more keywords