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Updated: May 14, 2025

Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System
Published on: December 29, 2023
Clinical Application Research on Stroke Situational Intelligent Rehabilitation Training System Based on Wearable
Ying Lu1, Kangjia Ding2, Yayuan Dai1
1Suzhou Xiangcheng People's Hospital, Suzhou 215131, China.
Abstract:
Background/Objectives: With the advancement of intelligent sensing technology, rehabilitation systems based on wearable devices have a positive impact on the functional recovery and quality of life of stroke patients. This study aims to evaluate the application value of a contextualized intelligent rehabilitation training system for stroke survivors, which is based on wearable devices, in the rehabilitation of motor function impairments following stroke. Methods: A randomized controlled trial design was employed, in which 100 stroke patients were randomly divided into a control group (n = 50, receiving standard physical therapy rehabilitation interventions) and an experimental group (n = 50). The experimental group additionally underwent motor function rehabilitation interventions and intelligent assessments through a wearable device-based contextual intelligent rehabilitation training system, with sessions conducted twice daily for 30 min each, five days a week, over a duration of eight weeks. Both groups of patients underwent clinical scale evaluations and data collection before and after the treatment, with primary outcome measures including motor ability (Fugl-Meyer Assessment, FMA), activities of daily living (Modified Barthel Index, MBI), and participation in rehabilitation therapy. The intervention effects of both groups were compared after eight weeks of rehabilitation. Results: Prior to the intervention, there were no significant differences in Fugl-Meyer Assessment (FMA) and Modified Barthel Index (MBI) scores between the experimental group and the control group (p > 0.05). After eight weeks of rehabilitation, the experimental group demonstrated significantly superior performance in motor function (FMA scores) and activities of daily living (MBI scores) compared to the control group (p < 0.01). Conclusions: The intelligent rehabilitation system significantly enhances motor function and activities of daily living in stroke survivors. Compared to traditional rehabilitation methods, it improves patient adherence to rehabilitation training and overall outcomes.
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