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Using Hidden Markov Models to Improve Quantifying Physical Activity in Accelerometer Data – A Simulation Study
INTRODUCTION: The use of accelerometers to objectively measure physical activity (PA) has become the most preferred method of choice in recent years. Traditionally, cutpoints are used to assign impulse counts recorded by the devices to sedentary and activity ranges. Here, hidden Markov models (HMM)...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4251969/ https://ncbi.nlm.nih.gov/pubmed/25464514 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0114089 |
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