Sungyoon Lee, K. H. Koo, Yong Lee, Jong Hoon Lee, Jae Hyo Kim
{"title":"Spatiotemporal analysis of EMG signals for muscle rehabilitation monitoring system","authors":"Sungyoon Lee, K. H. Koo, Yong Lee, Jong Hoon Lee, Jae Hyo Kim","doi":"10.1109/GCCE.2013.6664758","DOIUrl":null,"url":null,"abstract":"This study proposes spatiotemporal EMG signal analysis for muscle rehabilitation monitoring system. Through this monitoring system, users - both patient and therapist - can check one's status: muscle intensity, muscle fatigue, exercise posture, speed and number of movement. We performed three remedial exercises - SLR, SLR(P), and LE - to analyze the EMG signal. In addition, exercises with inappropriate postures and various joint angles also carried out. As a result, clearly different EMG features were extracted for every condition.","PeriodicalId":294532,"journal":{"name":"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2013.6664758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
This study proposes spatiotemporal EMG signal analysis for muscle rehabilitation monitoring system. Through this monitoring system, users - both patient and therapist - can check one's status: muscle intensity, muscle fatigue, exercise posture, speed and number of movement. We performed three remedial exercises - SLR, SLR(P), and LE - to analyze the EMG signal. In addition, exercises with inappropriate postures and various joint angles also carried out. As a result, clearly different EMG features were extracted for every condition.