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Clinical Study of MOTOmed Intelligent Training System Combined with Weight Support Gait Training on Improving Hemiplegic Gait of Stroke Patients with Hemiplegia
- Source :
- 康复学报, Vol 34, Pp 288-293 (2024)
- Publication Year :
- 2024
- Publisher :
- Editorial Office of Rehabilitation Medicine, 2024.
-
Abstract
- ObjectiveTo observe the kinematic effects of MOTOmed intelligent training system combined with weight support gait training on extensor synergistic hemiplegic gait in stroke patients with hemiplegia.MethodsA total of 90 stroke patients with hemiplegia who were hospitalized in Cangzhou People's Hospital from December 2021 to December 2022 were recruited and randomly divided into MOTOmed intelligent training group (control group) and MOTOmed intelligent training system combined with weight-support gait training group (experimental group), with 45 patients in each group. Both groups were treated with routine rehabilitation, supplemented by MOTOmed intelligent training system, including lower limb circumduction exercise training and active mode resistance training. Weight support gait training was added to the experimental group. Weight reduction started from 30% of the body weight, and was reduced to 15% of the body weight or fully weight bearing, according to the patient's physical condition, and the treadmill walking speed was set as 0.2-1.0 m/s. The patients in the two groups were evaluated before and after 4 weeks of treatment. The rehabilitation outcomes of the two groups were compared by using Barthel index, Holden walking function assessment, hemiplegic gait analysis rating scale, Fugl-Meyer assessment lower extremity (FMA-LE) and Berg balance scale (BBS).ResultsAfter 4 weeks of treatment, both groups showed improvements in Barthel Index score, Holden walking function classification, and hemiplegic gait analysis results (PPPPPP
Details
- Language :
- English, Chinese
- ISSN :
- 20960328
- Volume :
- 34
- Database :
- Directory of Open Access Journals
- Journal :
- 康复学报
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.27aa1bd1229463698484ef9aff35856
- Document Type :
- article
- Full Text :
- https://doi.org/10.3724/SP.J.1329.2024.03011