{"title":"使用FES与虚拟现实进行机器人辅助步态训练对中风患者的效果比较。一项随机临床试验。","authors":"Jaeho Park","doi":"10.1080/10749357.2025.2532421","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Robot-assisted gait training is becoming an effective alternative to therapist-assisted gait training in stroke rehabilitation. This method has the potential to reduce therapist burden and treatment costs, and is receiving considerable attention for the functional recovery of stroke patients.</p><p><strong>Objectives: </strong>The purpose of this study was to compare the effects of robot-assisted gait training using Functional electrical stimulation (FES) and Virtual Reality(VR) on balance and gait abilities in stroke patients and to suggest an effective treatment strategies.</p><p><strong>Methods: </strong>All subjects were randomly divided into three groups: Robot-assisted gait training using FES Group (RFG) (<i>n</i> = 22), Robot-assisted gait training using VR Group (RVG) (<i>n</i> = 23) and control group (<i>n</i> = 20). Subjects in RFG or RVG underwent robot-assisted gait training for 30 minutes, three times a week for six weeks. All Subjects were assessed for lower extremity muscle strength, balance, gait, motor function, and ADL pre- and post-intervention.</p><p><strong>Results: </strong>All subjects showed that all outcome measures significantly improved post-intervention (<i>p</i> < 0.05). In addition, it has been confirmed that RFG had significantly improved in MRC and BBS scores compared with RVG (<i>p</i> < 0.05). And, both groups showed significant differences compared to the control group in all areas except MBI (<i>p</i> < 0.05).</p><p><strong>Conclusions: </strong>These results suggest that showed improved lower extremity muscle strength and balance abilities after RFG compared with RVG and may be effective strategy to enhance the functional recovery of persons with stroke.</p>","PeriodicalId":23164,"journal":{"name":"Topics in Stroke Rehabilitation","volume":" ","pages":"1-10"},"PeriodicalIF":2.5000,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of the effects of robot-assisted gait training using FES versus virtual reality for stroke patients. A randomized clinical trial.\",\"authors\":\"Jaeho Park\",\"doi\":\"10.1080/10749357.2025.2532421\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Robot-assisted gait training is becoming an effective alternative to therapist-assisted gait training in stroke rehabilitation. This method has the potential to reduce therapist burden and treatment costs, and is receiving considerable attention for the functional recovery of stroke patients.</p><p><strong>Objectives: </strong>The purpose of this study was to compare the effects of robot-assisted gait training using Functional electrical stimulation (FES) and Virtual Reality(VR) on balance and gait abilities in stroke patients and to suggest an effective treatment strategies.</p><p><strong>Methods: </strong>All subjects were randomly divided into three groups: Robot-assisted gait training using FES Group (RFG) (<i>n</i> = 22), Robot-assisted gait training using VR Group (RVG) (<i>n</i> = 23) and control group (<i>n</i> = 20). Subjects in RFG or RVG underwent robot-assisted gait training for 30 minutes, three times a week for six weeks. All Subjects were assessed for lower extremity muscle strength, balance, gait, motor function, and ADL pre- and post-intervention.</p><p><strong>Results: </strong>All subjects showed that all outcome measures significantly improved post-intervention (<i>p</i> < 0.05). In addition, it has been confirmed that RFG had significantly improved in MRC and BBS scores compared with RVG (<i>p</i> < 0.05). And, both groups showed significant differences compared to the control group in all areas except MBI (<i>p</i> < 0.05).</p><p><strong>Conclusions: </strong>These results suggest that showed improved lower extremity muscle strength and balance abilities after RFG compared with RVG and may be effective strategy to enhance the functional recovery of persons with stroke.</p>\",\"PeriodicalId\":23164,\"journal\":{\"name\":\"Topics in Stroke Rehabilitation\",\"volume\":\" \",\"pages\":\"1-10\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Topics in Stroke Rehabilitation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/10749357.2025.2532421\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"REHABILITATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Topics in Stroke Rehabilitation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/10749357.2025.2532421","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REHABILITATION","Score":null,"Total":0}
Comparison of the effects of robot-assisted gait training using FES versus virtual reality for stroke patients. A randomized clinical trial.
Background: Robot-assisted gait training is becoming an effective alternative to therapist-assisted gait training in stroke rehabilitation. This method has the potential to reduce therapist burden and treatment costs, and is receiving considerable attention for the functional recovery of stroke patients.
Objectives: The purpose of this study was to compare the effects of robot-assisted gait training using Functional electrical stimulation (FES) and Virtual Reality(VR) on balance and gait abilities in stroke patients and to suggest an effective treatment strategies.
Methods: All subjects were randomly divided into three groups: Robot-assisted gait training using FES Group (RFG) (n = 22), Robot-assisted gait training using VR Group (RVG) (n = 23) and control group (n = 20). Subjects in RFG or RVG underwent robot-assisted gait training for 30 minutes, three times a week for six weeks. All Subjects were assessed for lower extremity muscle strength, balance, gait, motor function, and ADL pre- and post-intervention.
Results: All subjects showed that all outcome measures significantly improved post-intervention (p < 0.05). In addition, it has been confirmed that RFG had significantly improved in MRC and BBS scores compared with RVG (p < 0.05). And, both groups showed significant differences compared to the control group in all areas except MBI (p < 0.05).
Conclusions: These results suggest that showed improved lower extremity muscle strength and balance abilities after RFG compared with RVG and may be effective strategy to enhance the functional recovery of persons with stroke.
期刊介绍：
Topics in Stroke Rehabilitation is the leading journal devoted to the study and dissemination of interdisciplinary, evidence-based, clinical information related to stroke rehabilitation. The journal’s scope covers physical medicine and rehabilitation, neurology, neurorehabilitation, neural engineering and therapeutics, neuropsychology and cognition, optimization of the rehabilitation system, robotics and biomechanics, pain management, nursing, physical therapy, cardiopulmonary fitness, mobility, occupational therapy, speech pathology and communication. There is a particular focus on stroke recovery, improving rehabilitation outcomes, quality of life, activities of daily living, motor control, family and care givers, and community issues.
The journal reviews and reports clinical practices, clinical trials, state-of-the-art concepts, and new developments in stroke research and patient care. Both primary research papers, reviews of existing literature, and invited editorials, are included. Sharply-focused, single-issue topics, and the latest in clinical research, provide in-depth knowledge.
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