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Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications
BACKGROUND: Automatically detecting falls with mobile phones provides an opportunity for rapid response to injuries and better knowledge of what precipitated the fall and its consequences. This is beneficial for populations that are prone to falling, such as people with lower limb amputations. Prior...
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| Publicado no: | JMIR Mhealth Uhealth |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
JMIR Publications
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5656773/ https://ncbi.nlm.nih.gov/pubmed/29021127 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/mhealth.8201 |
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