表面肌电生物反馈对脑卒中患者步态的影响:一项随机临床试验

N. Sharma, Chandrika Pc
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摘要

背景与目的脑卒中是全球成年人中最常见的获得性神经系统疾病。中风幸存者通常行走受限,没有帮助就无法行走。因此,本研究旨在研究表面肌电生物反馈对脑卒中受试者步态的影响。方法采用随机对照试验方法,对印度班加罗尔国立乌纳尼医学研究所慢性脑卒中单次发作伴绕行步态患者进行研究。实验组n15每周5次,每周20分钟,连续4周。对照组n15例行常规物理治疗。两组都进行了循环步态训练。主要观察指标为步长、步长、步宽、步速和脚趾外露程度。测量分别在干预前和干预后进行。结果两组患者基线特征相似,平均年龄49岁+ 6.34岁。在四周时,两组人在步行方面都有相似的改善。实验组与对照组比较差异无统计学意义(p < 0.05)。而组内比较,实验组在步宽、步长、趾外度、节奏等方面均有改善。结论虽然表面肌电生物反馈在临床上广泛应用于物理治疗,但研究结果不足以支持表面肌电生物反馈改善脑卒中慢行期步态变量的临床意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of Surface EMG Biofeedback on Gait among Stroke subjects: A Randomized Clinical Trial
Background and Objectives Stroke is the most acquired neurological condition among adult population worldwide. Often stroke survivors have walking limitations and are unable to walk without assistance. Hence this study was designed to study the effect of surface electromyograph EMG biofeedback on gait among stroke subjects.Methods A randomized controlled trial was conducted on chronic stroke patients with circumductory gait and single episode of major stroke at National Institute of Unani Medicine Bengaluru India. The experimental group n15 underwent surface EMG biofeedback for 20 minutesday 5 timesweek for 4 weeks. The control group n15 performed conventional physiotherapy. Both the groups underwent circuit gait training. The primary outcome measures were stride length step length stride width cadence and degree of toe out.The measurement was taken prior to intervention and after the intervention.Results Baseline characteristics were similar in both the groups with mean age of 49plusmn6.34 years. Both the groups similarly improved in walking at four weeks. There was no statistically significant improvement between experimental and control group p gt 0.05. However comparison within group indicated improvement in stride width step length degree of toe out and cadence in experimental group.Conclusion Although surface EMG biofeedback is used in physiotherapy widely in clinical practice the result provided little evidence to support the clinical significance of using EMG biofeedback to improve gait variables in chronic phase of stroke.
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