Measuring Activities of Daily Living in Stroke Patients with Motion Machine Learning Algorithms: A Pilot Study

Measuring activities of daily living (ADLs) using wearable technologies may offer higher precision and granularity than the current clinical assessments for patients after stroke. This study aimed to develop and determine the accuracy of detecting different ADLs using machine-learning (ML) algorithm...

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Detalles Bibliográficos
Autores principales: Chen, Pin-Wei, Baune, Nathan A., Zwir, Igor, Wang, Jiayu, Swamidass, Victoria, Wong, Alex W.K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915561/
https://www.ncbi.nlm.nih.gov/pubmed/33572116
http://dx.doi.org/10.3390/ijerph18041634

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915561/
https://www.ncbi.nlm.nih.gov/pubmed/33572116
http://dx.doi.org/10.3390/ijerph18041634

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