Cargando…
Clinical Study of a Wearable Remote Rehabilitation Training System for Patients With Stroke: Randomized Controlled Pilot Trial
BACKGROUND: In contrast to the large and increasing number of patients with stroke, clinical rehabilitation resources cannot meet their rehabilitation needs. Especially for those discharged, ways to carry out effective rehabilitation training without the supervision of physicians and receive guidanc...
Autores principales: | Guo, Liquan, Wang, Jiping, Wu, Qunqiang, Li, Xinming, Zhang, Bochao, Zhou, Linfu, Xiong, Daxi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999258/ https://www.ncbi.nlm.nih.gov/pubmed/36821348 http://dx.doi.org/10.2196/40416 |
Ejemplares similares
-
Wearable Intelligent Machine Learning Rehabilitation Assessment for Stroke Patients Compared with Clinician Assessment
por: Guo, Liquan, et al.
Publicado: (2022) -
A Compressed Sensing-Based Wearable Sensor Network for Quantitative Assessment of Stroke Patients
por: Yu, Lei, et al.
Publicado: (2016) -
Quantitative Evaluation System of Wrist Motor Function for Stroke Patients Based on Force Feedback
por: Ding, Kangjia, et al.
Publicado: (2022) -
Quantitative Evaluation System of Upper Limb Motor Function of Stroke Patients Based on Desktop Rehabilitation Robot
por: Zhang, Mingliang, et al.
Publicado: (2022) -
Machine learning in chronic obstructive pulmonary disease
por: Zhang, Bochao, et al.
Publicado: (2023)