{"title":"多通道表面肌电信号的检测和调理","authors":"M. Gazzoni, Umberto Barone","doi":"10.5220/0004663701190125","DOIUrl":null,"url":null,"abstract":"The electromyogram is a compound signal comprising the electrical activity of the motor units activated asynchronously during voluntary muscle contractions. The temporal and spatial evolution of EMG can be sampled by surface electrodes. The basic principles and concepts about sEMG signal conditioning, spatial filtering, and spatial sampling are introduced and discussed.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi Channel Surface EMG - Detection and Conditioning\",\"authors\":\"M. Gazzoni, Umberto Barone\",\"doi\":\"10.5220/0004663701190125\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The electromyogram is a compound signal comprising the electrical activity of the motor units activated asynchronously during voluntary muscle contractions. The temporal and spatial evolution of EMG can be sampled by surface electrodes. The basic principles and concepts about sEMG signal conditioning, spatial filtering, and spatial sampling are introduced and discussed.\",\"PeriodicalId\":167011,\"journal\":{\"name\":\"International Congress on Neurotechnology, Electronics and Informatics\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Congress on Neurotechnology, Electronics and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0004663701190125\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Congress on Neurotechnology, Electronics and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0004663701190125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi Channel Surface EMG - Detection and Conditioning
The electromyogram is a compound signal comprising the electrical activity of the motor units activated asynchronously during voluntary muscle contractions. The temporal and spatial evolution of EMG can be sampled by surface electrodes. The basic principles and concepts about sEMG signal conditioning, spatial filtering, and spatial sampling are introduced and discussed.