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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Detalles Bibliográficos
Autores principales: Zdravevski, Eftim, Risteska Stojkoska, Biljana, Standl, Marie, Schulz, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589162/
https://www.ncbi.nlm.nih.gov/pubmed/28880923
http://dx.doi.org/10.1371/journal.pone.0184216

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589162/
https://www.ncbi.nlm.nih.gov/pubmed/28880923
http://dx.doi.org/10.1371/journal.pone.0184216

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