{"title":"基于小波检测的人体运动活动肌肉协同分解分析","authors":"Anton Popov, S. Yakovenko","doi":"10.1109/SPS.2015.7168260","DOIUrl":null,"url":null,"abstract":"Any movement is generated by synergistic actions of muscle groups. The analytical description of how muscles are combined into synergies to produce their coordination actions remains to be established. Here, we have introduced the wavelet-based analysis to identify common information among major leg muscles during a locomotor tasks with and without asymmetric adaptation.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Muscle synergy decomposition analysis using wavelet detection in human locomotor activity\",\"authors\":\"Anton Popov, S. Yakovenko\",\"doi\":\"10.1109/SPS.2015.7168260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Any movement is generated by synergistic actions of muscle groups. The analytical description of how muscles are combined into synergies to produce their coordination actions remains to be established. Here, we have introduced the wavelet-based analysis to identify common information among major leg muscles during a locomotor tasks with and without asymmetric adaptation.\",\"PeriodicalId\":193902,\"journal\":{\"name\":\"2015 Signal Processing Symposium (SPSympo)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Signal Processing Symposium (SPSympo)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPS.2015.7168260\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Signal Processing Symposium (SPSympo)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPS.2015.7168260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Muscle synergy decomposition analysis using wavelet detection in human locomotor activity
Any movement is generated by synergistic actions of muscle groups. The analytical description of how muscles are combined into synergies to produce their coordination actions remains to be established. Here, we have introduced the wavelet-based analysis to identify common information among major leg muscles during a locomotor tasks with and without asymmetric adaptation.