Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device

Neurological patients can have severe gait impairments that contribute to fall risks. Predicting falls from gait abnormalities could aid clinicians and patients mitigate fall risk. The aim of this study was to predict fall status from spatial-temporal gait characteristics measured by a wearable devi...

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Detalles Bibliográficos
Autores principales: Zhou, Yuhan, Zia Ur Rehman, Rana, Hansen, Clint, Maetzler, Walter, Del Din, Silvia, Rochester, Lynn, Hortobágyi, Tibor, 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/PMC7435707/
https://www.ncbi.nlm.nih.gov/pubmed/32717848
http://dx.doi.org/10.3390/s20154098

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435707/
https://www.ncbi.nlm.nih.gov/pubmed/32717848
http://dx.doi.org/10.3390/s20154098

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