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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...
Enregistré dans:
| Publié dans: | J R Soc Interface |
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| Auteurs principaux: | , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
The Royal Society
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5832732/ https://ncbi.nlm.nih.gov/pubmed/29436510 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2017.0885 |
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