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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Detalles Bibliográficos
Autores principales: Shawen, Nicholas, Lonini, Luca, Mummidisetty, Chaithanya Krishna, Shparii, Ilona, Albert, Mark V, Kording, Konrad, Jayaraman, Arun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656773/
https://www.ncbi.nlm.nih.gov/pubmed/29021127
http://dx.doi.org/10.2196/mhealth.8201

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656773/
https://www.ncbi.nlm.nih.gov/pubmed/29021127
http://dx.doi.org/10.2196/mhealth.8201

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