Registration of 24-hour accelerometric rest-activity profiles and its application to human chronotypes.

McDonnell, Erin I; Zipunnikov, Vadim; Schrack, Jennifer A; Goldsmith, Jeff; Wrobel, Julia

McDonnell, Erin I; Zipunnikov, Vadim; Schrack, Jennifer A; Goldsmith, Jeff; Wrobel, Julia.

Afiliação

McDonnell EI; Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
Zipunnikov V; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Schrack JA; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Goldsmith J; Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
Wrobel J; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

Biol Rhythm Res ; 53(8): 1299-1319, 2022.

Article em En | MEDLINE | ID: mdl-35784395

Palavras-chave

accelerometer; cosinor model; data-driven chronotypes; diurnal registration; functional principal components analysis

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Revista: Biol Rhythm Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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