| 龙耀斌,农飞玉,黄雅琳,郭施扬,张学涛,陈 琳.脑卒中偏瘫下肢表面肌电信号样本熵用于痉挛性肌张力量化评估的研究[J].中国康复医学杂志,2023,(10):1379~1384 |
| 脑卒中偏瘫下肢表面肌电信号样本熵用于痉挛性肌张力量化评估的研究 点此下载全文 |
| 龙耀斌 农飞玉 黄雅琳 郭施扬 张学涛 陈 琳 |
| 广西医科大学第二附属医院康复医学科，南宁市，530007 |
| 基金项目：广西自然科学基金面上项目（2022GXNSFAA035511）；广西壮族自治区医疗卫生重点学科建设（桂卫科教发〔2022〕4号）；广西创新驱动发展专项（桂科AA17204017-5） |
| DOI：10.3969/j.issn.1001-1242.2023.10.008 |
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| 摘要： |
| 摘要
目的：探讨表面肌电信号样本熵与脑卒中偏瘫下肢腓肠肌痉挛等级的相关性。
方法：随机选取53例脑卒中恢复期患者为受试者，对偏瘫下肢腓肠肌进行改良Ashworth 量表(modified Ashworth scale， MAS)评估，采用单通道无线蓝牙肌电传感器记录被动牵伸状态时腓肠肌表面肌电信号（surface electromyography，sEMG)；引入样本熵计算方法提取sEMG的特征信息，分析其与痉挛等级的相关性，并对结果进行验证。
结果：对采集的sEMG进行熵值分析，结果显示MAS评估为0级、Ⅰ级、Ⅰ+级、Ⅱ级、Ⅲ级的偏瘫下肢腓肠肌sEMG样本熵分别为：0.6947±0.169、0.7951±0.244、0.8249±0.145、0.8305±0.232、0.9489±0.371，对样本熵进行线性拟合，发现样本熵均值曲线随痉挛等级的升高呈上升趋势，且样本熵与MAS相关(r=0.745，P<0.05)，进一步验证发现样本熵符合肌电信号特征与痉挛等级的映射关系。
结论：sEMG样本熵可用于脑卒中偏瘫肢体痉挛性肌张力的量化评估，有望为病理性痉挛的精准康复提供有效的检测及评估手段。 |
| 关键词：脑卒中 痉挛 表面肌电信号 样本熵 |
| Study on sample entropy of lower limb surface electromyography signal quantifying spastic muscle tone in stroke hemiplegia Download Fulltext |
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| The Second Affiliated Hospital of Guangxi Medical University，Nanning， 530007 |
| Fund Project: |
| Abstract: |
| Abstract
Objective： To investigate the correlation between the sample entropy of sEMG and the spasticity grade of gastrocnemius muscle in stroke hemiplegia.
Method： 53 convalescent patients with stroke were randomly selected as subjects. The gastrocnemius muscle of hemiplegic lower limbs was evaluated by modified Ashworth scale (MAS). The surface electromyography (sEMG) of gastrocnemius muscle in passive stretching state was recorded by single channel wireless bluetooth EMG sensor. The sample entropy calculation method is introduced to extract the characteristic information of sEMG， analyze its correlation with spasm grade， and verify the results.
Result： The sample entropy of sEMG was analyzed. The results showed that the sample entropy of sEMG of gastrocnemius muscle in stroke hemiplegia assessed by MAS as grade 0， grade Ⅰ， grade Ⅰ+， grade Ⅱ and grade Ⅲ were 0.6947±0.169， 0.7951±0.244， 0.8249±0.145， 0.8305±0.232 and 0.9489±0.371， respectively. The sample entropy was linearly fitted. It was found that the average curve of sample entropy showed an upward trend with the increase of spasm grade， the sample entropy was correlated with MAS (r=0.745， P<0.05). It was further verified that the sample entropy accorded with the mapping relationship between myoelectric signal characteristics and spasm grade.
Conclusion： sEMG sample entropy can be used for quantitative evaluation of spastic muscle tone in hemiplegic limbs after stroke， and is expected to provide an effective means for accurate detection and evaluation of pathological spasticity. |
| Keywords:stroke spasm surface electromyography sample entropy |
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