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Methods for preprocessing time and distance series data from personal monitoring devices
There is a need to develop more advanced tools to improve guidance on physical exercise to reduce risk of adverse events and improve benefits of exercise. Vast amounts of data are generated continuously by Personal Monitoring Devices (PMDs) from sports events, biomedical experiments, and fitness sel...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334486/ https://www.ncbi.nlm.nih.gov/pubmed/32642451 http://dx.doi.org/10.1016/j.mex.2020.100959 |