A Novel Muscle Innervation Zone Estimation Method Using Monopolar High Density Surface Electromyography

被引:1
|
作者
Huang, Chengjun [1 ]
Chen, Maoqi [2 ]
Zhang, Yingchun [3 ]
Li, Sheng [4 ]
Klein, Cliff S. [5 ]
Zhou, Ping [2 ]
机构
[1] Baylor Coll Med, Dept Neurosci, Houston, TX 77030 USA
[2] Univ Hlth & Rehabil Sci, Sch Rehabil Sci & Engn, Qingdao 200027, Shandong, Peoples R China
[3] Univ Houston, Dept Biomed Engn, Houston, TX 77024 USA
[4] Univ Texas Hlth Sci Ctr Houston, TIRR Mem Hermann Hosp, Dept Phys Med & Rehabil, Houston, TX 77030 USA
[5] Guangdong Work Injury Rehabil Ctr, Guangzhou 510645, Guangdong, Peoples R China
关键词
High density surface electromyography (EMG); innervation zone (IZ); principal component analysis (PCA); the 2nd principal component; PRINCIPAL COMPONENT ANALYSIS; FIBER CONDUCTION-VELOCITY; MOTOR UNITS; EMG; POSITION; LOCALIZATION; ORGANIZATION; ACTIVATION; SIGNALS; MATRIX;
D O I
10.1109/TNSRE.2022.3215612
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This study presents a novel method to estimate a muscle's innervation zone (IZ) location from monopolar high density surface electromyography (EMG) signals. Based on the fact that 2nd principal component coefficients derived from principal component analysis (PCA) are linearly related with the time delay of different channels, the channels located near the IZ should have the shortest time delays. Accordingly, we applied a novel method to estimate a muscle's IZ based on PCA. The performance of the developed method was evaluated by both simulation and experimental approaches. The method based on 2nd principal component of monopolar high density surface EMG achieved a comparable performance to cross-correlation analysis of bipolar signals when noise was simulated to be independently distributed across all channels. However, in simulated conditions of specific channel contamination, the PCA based method achieved superior performance than the cross-correlation method. Experimental high density surface EMG was recorded from the bicepsbrachii of 9 healthysubjects during maximum voluntary contractions. The PCA and cross-correlation based methods achieved high agreement, with a difference in IZ location of 0.47 +/- 0.4 IED (inter-electrode distance = 8 mm). The results indicate that analysis of 2nd principal component coefficients provides a useful approach for IZ estimation using monopolar high density surface EMG.
引用
收藏
页码:22 / 30
页数:9
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