Using hidden Markov models with raw, triaxial wrist accelerometry data to determine sleep stages

DOI10.1111/anzs.12270zbMath1440.62323OpenAlexW2969912043WikidataQ127332104 ScholiaQ127332104MaRDI QIDQ5117659

Peter R. Eastwood, Michelle L. Trevenen, Kevin Murray, Turlach, Berwin A., Leon M. Straker

Publication date: 26 August 2020

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12270

zbMATH Keywords

accelerometryhidden Markov models\(K\)-meansgeneralised linear mixed modelssleep stages

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Markov processes: estimation; hidden Markov models (62M05)

Cites Work

• Random forests

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