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

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...

Full description

Bibliographic Details
Main Authors: Pin-Wei Chen, Nathan A. Baune, Igor Zwir, Jiayu Wang, Victoria Swamidass, Alex W.K. Wong
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:International Journal of Environmental Research and Public Health
Subjects:
activities of daily living
stroke
rehabilitation
telemedicine
remote sensing technology
machine learning
Online Access:https://www.mdpi.com/1660-4601/18/4/1634

Internet

https://www.mdpi.com/1660-4601/18/4/1634

Similar Items