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Using Phone Sensors and an Artificial Neural Network to Detect Gait Changes During Drinking Episodes in the Natural Environment
BACKGROUND: Phone sensors could be useful in assessing changes in gait that occur with alcohol consumption. This study determined (1) feasibility of collecting gait-related data during drinking occasions in the natural environment, and (2) how gait-related features measured by phone sensors relate t...
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| Publicado no: | Gait Posture |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5809199/ https://ncbi.nlm.nih.gov/pubmed/29179052 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.gaitpost.2017.11.019 |
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