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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Detaylı Bibliyografya
Yayımlandı:JMIR Mhealth Uhealth
Asıl Yazarlar: Shawen, Nicholas, Lonini, Luca, Mummidisetty, Chaithanya Krishna, Shparii, Ilona, Albert, Mark V, Kording, Konrad, Jayaraman, Arun
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: JMIR Publications 2017
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Original Paper
Online Erişim: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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