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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Publicat a:Sensors (Basel)
Autors principals: Zhou, Yuhan, Zia Ur Rehman, Rana, Hansen, Clint, Maetzler, Walter, Del Din, Silvia, Rochester, Lynn, Hortobágyi, Tibor, Lamoth, Claudine J. C.
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2020
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Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7435707/
https://ncbi.nlm.nih.gov/pubmed/32717848
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20154098
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