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An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer
The aim of this investigation was to develop and test two artificial neural networks (ANN) to apply to physical activity data collected with a commonly used uniaxial accelerometer. The first ANN model estimated physical activity metabolic equivalents (METs), and the second ANN identified activity ty...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Physiological Society
2009
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2763835/ https://ncbi.nlm.nih.gov/pubmed/19644028 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1152/japplphysiol.00465.2009 |
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