{"title":"Appropriate Features to Determine Correlation in EMG Signals and Biting Force in Occlusion System","authors":"S. Poomsombut, C. Limsakul, P. Phukpattaranont","doi":"10.1109/ICESIT-ICICTES.2018.8442067","DOIUrl":null,"url":null,"abstract":"In order to determine the linear relation between the features of EMG signals and biting force, the correlation coefficient (r) is used to select the appropriate features of EMG signal providing the high linear relationship. The experimental results showed that when segmentation of EMG signals for feature calculation by assigning window sizes equal to window increment, the correlation coefficient is greater than that the window sizes are larger window increment. Feature extracted from the EMG signal with a 500 ms window size and a 500 ms window increment in time domain provides the best linear relationship with the biting force levels. Moreover, the feature providing the best correlation is Willison Amplitude (WAMP) with r = 0.75. On the other hand, the results obtained from other features are quite similar (0.75 >r>0.62).","PeriodicalId":57136,"journal":{"name":"单片机与嵌入式系统应用","volume":"11 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"单片机与嵌入式系统应用","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICESIT-ICICTES.2018.8442067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In order to determine the linear relation between the features of EMG signals and biting force, the correlation coefficient (r) is used to select the appropriate features of EMG signal providing the high linear relationship. The experimental results showed that when segmentation of EMG signals for feature calculation by assigning window sizes equal to window increment, the correlation coefficient is greater than that the window sizes are larger window increment. Feature extracted from the EMG signal with a 500 ms window size and a 500 ms window increment in time domain provides the best linear relationship with the biting force levels. Moreover, the feature providing the best correlation is Willison Amplitude (WAMP) with r = 0.75. On the other hand, the results obtained from other features are quite similar (0.75 >r>0.62).