Hidden Markov models for monitoring circadian rhythmicity in telemetric activity data

Wearable computing devices allow collection of densely sampled real-time information on movement enabling researchers and medical experts to obtain objective and non-obtrusive records of actual activity of a subject in the real world over many days. Our interest here is motivated by the use of activ...

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Detalles Bibliográficos
Autores principales: Huang, Qi, Cohen, Dwayne, Komarzynski, Sandra, Li, Xiao-Mei, Innominato, Pasquale, Lévi, Francis, Finkenstädt, Bärbel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2018
Materias:
Life Sciences–Mathematics interface
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832732/
https://www.ncbi.nlm.nih.gov/pubmed/29436510
http://dx.doi.org/10.1098/rsif.2017.0885

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832732/
https://www.ncbi.nlm.nih.gov/pubmed/29436510
http://dx.doi.org/10.1098/rsif.2017.0885

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