A systematic review of the performance of actigraphy in measuring sleep stages
Year: 2024
Type: review
Study design: Systematic Review
Abstract: The accuracy of actigraphy for sleep staging is assumed to be poor, but examination is limited. This systematic review aimed to assess the performance of actigraphy in sleep stage classification of adults. A systematic search was performed using MEDLINE, Web of Science, Google Scholar, and Embase databases. We identified eight studies that compared sleep architecture estimates between wrist-worn actigraphy and polysomnography. Large heterogeneity was found with respect to how sleep stages were grouped, and the choice of metrics used to evaluate performance. Quantitative synthesis was not possible, so we performed a narrative synthesis of the literature. From the limited number of studies, we found that actigraphy-based sleep staging had some ability to classify different sleep stages compared with polysomnography.
Source: Journal of Sleep Research
DOI: 10.1111/jsr.14143
Institution: University of Oxford
Language: English
Topic: Sleep and related disorders
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $4,130
Awards: The Trojan Candidate, Using wearable sensors to transform the understanding of cardiovascular disease: Prediction, mechanisms, and patient relevant endpoints., G2792775314, Using wearable sensors to transform the understanding of cardiovascular disease: Prediction, mechanisms, and patient relevant endpoints., Research Excellence (round 3), Brain Networks Underlying Sleep and Circadian Rhythm Disruption (SCRD) in Mental Health, Targeting sleep to improve anxiety and depression in young people, G7346840473, Brain Networks Underlying Sleep and Circadian Rhythm Disruption (SCRD) in Mental Health
OpenAlex ID: W4392087254
