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
Publicado en:Sensors (Basel)
Main Authors: 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: Artigo
Idioma:Inglês
Publicado: MDPI 2020
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7729621/
https://ncbi.nlm.nih.gov/pubmed/33297395
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20236992
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