Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders

Falls are the leading cause of mortality, morbidity and poor quality of life in older adults with or without neurological conditions. Applying machine learning (ML) models to gait analysis outcomes offers the opportunity to identify individuals at risk of future falls. The aim of this study was to d...

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Detalles Bibliográficos
Autores principales: Rehman, Rana Zia Ur, Zhou, Yuhan, Del Din, Silvia, Alcock, Lisa, Hansen, Clint, Guan, Yu, Hortobágyi, Tibor, Maetzler, Walter, Rochester, Lynn, Lamoth, Claudine J. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729621/
https://www.ncbi.nlm.nih.gov/pubmed/33297395
http://dx.doi.org/10.3390/s20236992

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729621/
https://www.ncbi.nlm.nih.gov/pubmed/33297395
http://dx.doi.org/10.3390/s20236992

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