Suppr超能文献

表面肌电在偏瘫患者步态分析和康复中的应用研究。

Development of Surface EMG for Gait Analysis and Rehabilitation of Hemiparetic Patients.

机构信息

Pôle Parasport University Hospital Raymond Poincaré, APHP, 92380 Garches, France.

U1179 Endicap, Versailles Saint Quentin University, 78000 Versailles, France.

出版信息

Sensors (Basel). 2024 Sep 13;24(18):5954. doi: 10.3390/s24185954.

Abstract

BACKGROUND

The quantification of electromyographic activity using surface electrodes is invaluable for understanding gait disorders in patients with central nervous system lesions. We propose to evaluate a commercially available low-cost system compared to a reference system in participants with stroke-related movement disorders in functional situations.

METHODS

Three hemiparetic participants performed three functional tasks: two treadmill walks at different speeds and a sit-to-stand test. The vastus lateralis and gastrocnemius medialis muscles were equipped with two EMG sensors. The comparison between the two EMG systems was based on 883 identified cycles. Spearman's correlation coefficients (SCs), linear correlation coefficients (LCCs), and cross-correlation coefficients (CCCs) were calculated.

RESULTS

The main results indicate good to very good similarity of the EMG signals collected from the two tested sEMG systems. In the comfortable-walking condition, an SC of 0.894 ± 0.091 and an LCC of 0.909 ± 0.094 were noted. In the fast-walking condition, an SC of 0.918 ± 0.064 and an LCC of 0.935 ± 0.056 were observed. For the 1 min sit-to-stand test, an SC of 0.880 ± 0.058 and an LCC of 0.881 ± 0.065 were noted.

CONCLUSIONS

This study demonstrates good to very good similarity between the two sEMG systems, enabling the analysis of muscle activity during functional tasks.

摘要

背景

使用表面电极对肌电图活动进行量化对于理解中枢神经系统损伤患者的步态障碍非常有价值。我们建议在具有与中风相关运动障碍的参与者的功能情况下,对商业上可用的低成本系统与参考系统进行评估。

方法

三名偏瘫参与者执行了三个功能任务:两种不同速度的跑步机行走和坐立测试。股外侧肌和腓肠肌内侧各配备两个肌电图传感器。两种肌电图系统之间的比较基于 883 个识别周期。计算了 Spearman 相关系数(SCs)、线性相关系数(LCCs)和互相关系数(CCCs)。

结果

主要结果表明,从两个经过测试的表面肌电系统采集的肌电图信号具有很好到非常好的相似性。在舒适步行条件下,SC 为 0.894 ± 0.091,LCC 为 0.909 ± 0.094。在快速步行条件下,SC 为 0.918 ± 0.064,LCC 为 0.935 ± 0.056。对于 1 分钟的坐立测试,SC 为 0.880 ± 0.058,LCC 为 0.881 ± 0.065。

结论

这项研究表明,两种表面肌电系统之间具有很好到非常好的相似性,能够分析功能任务期间的肌肉活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbd/11436235/e8aa6a37a760/sensors-24-05954-g001a.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验