{"title":"结合CKC和FCM的混合多通道表面肌电信号分解方法","authors":"Yong Ning, Shanan Zhu, Xiangjun Zhu, Yingchun Zhang","doi":"10.1109/NER.2013.6695940","DOIUrl":null,"url":null,"abstract":"A hybrid approach is successfully developed in this study by combining the fuzzy C means (FCM) clustering method and Convolution Kernel Compensation (CKC) method for multi-channel surface electromyogram (EMG) decomposition. The FCM is utilized to estimate the initial innervation pulse trains (IPTs) of motor units (MUs) from a few channel surface EMG signals, the CKC method is then employed to estimate the final IPTs. Computer simulation results demonstrate the improved efficiency and accuracy of the hybrid approach compared to the classic CKC method.","PeriodicalId":156952,"journal":{"name":"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A hybrid multi-channel surface EMG decomposition approach by combining CKC and FCM\",\"authors\":\"Yong Ning, Shanan Zhu, Xiangjun Zhu, Yingchun Zhang\",\"doi\":\"10.1109/NER.2013.6695940\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A hybrid approach is successfully developed in this study by combining the fuzzy C means (FCM) clustering method and Convolution Kernel Compensation (CKC) method for multi-channel surface electromyogram (EMG) decomposition. The FCM is utilized to estimate the initial innervation pulse trains (IPTs) of motor units (MUs) from a few channel surface EMG signals, the CKC method is then employed to estimate the final IPTs. Computer simulation results demonstrate the improved efficiency and accuracy of the hybrid approach compared to the classic CKC method.\",\"PeriodicalId\":156952,\"journal\":{\"name\":\"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NER.2013.6695940\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NER.2013.6695940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A hybrid multi-channel surface EMG decomposition approach by combining CKC and FCM
A hybrid approach is successfully developed in this study by combining the fuzzy C means (FCM) clustering method and Convolution Kernel Compensation (CKC) method for multi-channel surface electromyogram (EMG) decomposition. The FCM is utilized to estimate the initial innervation pulse trains (IPTs) of motor units (MUs) from a few channel surface EMG signals, the CKC method is then employed to estimate the final IPTs. Computer simulation results demonstrate the improved efficiency and accuracy of the hybrid approach compared to the classic CKC method.
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