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Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions
BACKGROUND: Assessment of health benefits associated with physical activity depend on the activity duration, intensity and frequency, therefore their correct identification is very valuable and important in epidemiological and clinical studies. The aims of this study are: to develop an algorithm for...
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| Publicado no: | PLoS One |
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| Principais autores: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5589162/ https://ncbi.nlm.nih.gov/pubmed/28880923 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0184216 |
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