R. Darmakusuma, A. Prihatmanto, A. Indrayanto, T. Mengko
{"title":"Bicep brachii's force estimation using MAV method on assistive technology application","authors":"R. Darmakusuma, A. Prihatmanto, A. Indrayanto, T. Mengko","doi":"10.1109/ICICI-BME.2011.6108625","DOIUrl":null,"url":null,"abstract":"This paper presents signal processing of single channel surface electromyography (sEMG) on bicep brachii and its alternative application on assistive technology. Mean Absolute Value (MAV) method is used to estimate the average of muscle's force which correlates with its sEMG voltage amplitude. As a result, this estimating value controls box in virtual world as biofeedback in three classes; rest condition, lifted arm without load, and lifted arm with load. From this point, bicep brachii's force value can be estimated by using its sEMG voltage amplitude in particular range.","PeriodicalId":395673,"journal":{"name":"2011 2nd International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 2nd International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICI-BME.2011.6108625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper presents signal processing of single channel surface electromyography (sEMG) on bicep brachii and its alternative application on assistive technology. Mean Absolute Value (MAV) method is used to estimate the average of muscle's force which correlates with its sEMG voltage amplitude. As a result, this estimating value controls box in virtual world as biofeedback in three classes; rest condition, lifted arm without load, and lifted arm with load. From this point, bicep brachii's force value can be estimated by using its sEMG voltage amplitude in particular range.