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Prediction of oxygen uptake dynamics by machine learning analysis of wearable sensors during activities of daily living
Currently, oxygen uptake ([Image: see text]) is the most precise means of investigating aerobic fitness and level of physical activity; however, [Image: see text] can only be directly measured in supervised conditions. With the advancement of new wearable sensor technologies and data processing appr...
Autores principales: | Beltrame, T., Amelard, R., Wong, A., Hughson, R. L. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381118/ https://www.ncbi.nlm.nih.gov/pubmed/28378815 http://dx.doi.org/10.1038/srep45738 |
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