{"title":"肌电图预测肌肉力量的方法","authors":"Gang Li, Haifeng Chen, Jungtae Lee","doi":"10.1109/IACSIT-SC.2009.11","DOIUrl":null,"url":null,"abstract":"Surface electromyography (sEMG) technology is used to record and display the electrical activities of human muscles, by which researchers are able to make a muscle force evaluation. In this study, in order to accurately feedback the information about athletes' forearm force training, the Maximum Voluntary Contraction (MVC) is proved as the indicator of maximum forearm muscle force by developing a winner prediction method of arm wrestling game. Experiment results based on healthy 12 volunteers' (all males, average age is 25±3) are reported in this paper. The results show that the prediction method can be accurately performed so as to estimate who is the winner.","PeriodicalId":286158,"journal":{"name":"2009 International Association of Computer Science and Information Technology - Spring Conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A Prediction Method of Muscle Force Using sEMG\",\"authors\":\"Gang Li, Haifeng Chen, Jungtae Lee\",\"doi\":\"10.1109/IACSIT-SC.2009.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Surface electromyography (sEMG) technology is used to record and display the electrical activities of human muscles, by which researchers are able to make a muscle force evaluation. In this study, in order to accurately feedback the information about athletes' forearm force training, the Maximum Voluntary Contraction (MVC) is proved as the indicator of maximum forearm muscle force by developing a winner prediction method of arm wrestling game. Experiment results based on healthy 12 volunteers' (all males, average age is 25±3) are reported in this paper. The results show that the prediction method can be accurately performed so as to estimate who is the winner.\",\"PeriodicalId\":286158,\"journal\":{\"name\":\"2009 International Association of Computer Science and Information Technology - Spring Conference\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Association of Computer Science and Information Technology - Spring Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IACSIT-SC.2009.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Association of Computer Science and Information Technology - Spring Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IACSIT-SC.2009.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Surface electromyography (sEMG) technology is used to record and display the electrical activities of human muscles, by which researchers are able to make a muscle force evaluation. In this study, in order to accurately feedback the information about athletes' forearm force training, the Maximum Voluntary Contraction (MVC) is proved as the indicator of maximum forearm muscle force by developing a winner prediction method of arm wrestling game. Experiment results based on healthy 12 volunteers' (all males, average age is 25±3) are reported in this paper. The results show that the prediction method can be accurately performed so as to estimate who is the winner.