Muscle innervation zone estimation from monopolar high-density M-waves using principal component analysis and radon transform
This study examined methods for estimating the innervation zone (IZ) of a muscle using recorded monopolar high density M waves. Two IZ estimation methods based on principal component analysis (PCA) and Radon transform (RT) were examined. Experimental M waves, acquired from the biceps brachii muscles...
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2023.1137146/full |
| _version_ | 1797870446621753344 |
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| author | Chengjun Huang Zhiyuan Lu Maoqi Chen Cliff S. Klein Yingchun Zhang Sheng Li Sheng Li Ping Zhou |
| author_facet | Chengjun Huang Zhiyuan Lu Maoqi Chen Cliff S. Klein Yingchun Zhang Sheng Li Sheng Li Ping Zhou |
| author_sort | Chengjun Huang |
| collection | DOAJ |
| description | This study examined methods for estimating the innervation zone (IZ) of a muscle using recorded monopolar high density M waves. Two IZ estimation methods based on principal component analysis (PCA) and Radon transform (RT) were examined. Experimental M waves, acquired from the biceps brachii muscles of nine healthy subjects were used as testing data sets. The performance of the two methods was evaluated by comparing their IZ estimations with manual IZ detection by experienced human operators. Compared with manual detection, the agreement rate of the estimated IZs was 83% and 63% for PCA and RT based methods, respectively, both using monopolar high density M waves. In contrast, the agreement rate was 56% for cross correlation analysis using bipolar high density M waves. The mean difference in estimated IZ location between manual detection and the tested method was 0.12 ± 0.28 inter-electrode-distance (IED) for PCA, 0.33 ± 0.41 IED for RT and 0.39 ± 0.74 IED for cross correlation-based methods. The results indicate that the PCA based method was able to automatically detect muscle IZs from monopolar M waves. Thus, PCA provides an alternative approach to estimate IZ location of voluntary or electrically-evoked muscle contractions, and may have particular value for IZ detection in patients with impaired voluntary muscle activation. |
| first_indexed | 2024-04-10T00:28:39Z |
| format | Article |
| id | doaj.art-523e3155f50e498696ead84fd7389a2c |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-04-10T00:28:39Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Physiology |
| spelling | doaj.art-523e3155f50e498696ead84fd7389a2c2023-03-15T05:20:22ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2023-03-011410.3389/fphys.2023.11371461137146Muscle innervation zone estimation from monopolar high-density M-waves using principal component analysis and radon transformChengjun Huang0Zhiyuan Lu1Maoqi Chen2Cliff S. Klein3Yingchun Zhang4Sheng Li5Sheng Li6Ping Zhou7Department of Neuroscience, Baylor College of Medicine, Houston, TX, United StatesSchool of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, Qingdao, Shandong, ChinaSchool of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, Qingdao, Shandong, ChinaGuangdong Work Injury Rehabilitation Center, Guangzhou, Guangdong, ChinaDepartment of Biomedical Engineering, University of Houston, Houston, TX, United StatesDepartment of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, Houston, TX, United StatesTIRR Memorial Hermann Hospital, Houston, TX, United StatesSchool of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, Qingdao, Shandong, ChinaThis study examined methods for estimating the innervation zone (IZ) of a muscle using recorded monopolar high density M waves. Two IZ estimation methods based on principal component analysis (PCA) and Radon transform (RT) were examined. Experimental M waves, acquired from the biceps brachii muscles of nine healthy subjects were used as testing data sets. The performance of the two methods was evaluated by comparing their IZ estimations with manual IZ detection by experienced human operators. Compared with manual detection, the agreement rate of the estimated IZs was 83% and 63% for PCA and RT based methods, respectively, both using monopolar high density M waves. In contrast, the agreement rate was 56% for cross correlation analysis using bipolar high density M waves. The mean difference in estimated IZ location between manual detection and the tested method was 0.12 ± 0.28 inter-electrode-distance (IED) for PCA, 0.33 ± 0.41 IED for RT and 0.39 ± 0.74 IED for cross correlation-based methods. The results indicate that the PCA based method was able to automatically detect muscle IZs from monopolar M waves. Thus, PCA provides an alternative approach to estimate IZ location of voluntary or electrically-evoked muscle contractions, and may have particular value for IZ detection in patients with impaired voluntary muscle activation.https://www.frontiersin.org/articles/10.3389/fphys.2023.1137146/fullinnervation zonemonopolarM waveelectrode arrayprincipal component analysisradon transform |
| spellingShingle | Chengjun Huang Zhiyuan Lu Maoqi Chen Cliff S. Klein Yingchun Zhang Sheng Li Sheng Li Ping Zhou Muscle innervation zone estimation from monopolar high-density M-waves using principal component analysis and radon transform Frontiers in Physiology innervation zone monopolar M wave electrode array principal component analysis radon transform |
| title | Muscle innervation zone estimation from monopolar high-density M-waves using principal component analysis and radon transform |
| title_full | Muscle innervation zone estimation from monopolar high-density M-waves using principal component analysis and radon transform |
| title_fullStr | Muscle innervation zone estimation from monopolar high-density M-waves using principal component analysis and radon transform |
| title_full_unstemmed | Muscle innervation zone estimation from monopolar high-density M-waves using principal component analysis and radon transform |
| title_short | Muscle innervation zone estimation from monopolar high-density M-waves using principal component analysis and radon transform |
| title_sort | muscle innervation zone estimation from monopolar high density m waves using principal component analysis and radon transform |
| topic | innervation zone monopolar M wave electrode array principal component analysis radon transform |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2023.1137146/full |
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