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...

Popoln opis

Shranjeno v:
Bibliografske podrobnosti
izdano v: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.
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2020
Teme:
Article
Online dostop: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
Oznake: Označite
Brez oznak, prvi označite!

Podobne knjige/članki