L. Pham-Nguyen, Huy-Dung Han, Le-Lan Tran, Nhung Nguyen-Hong, L. Le
{"title":"Wireless Wearable ElectroMyography Acquisition System Utilizing Reduced-Graphene-Oxide Based Sensor","authors":"L. Pham-Nguyen, Huy-Dung Han, Le-Lan Tran, Nhung Nguyen-Hong, L. Le","doi":"10.1109/NICS54270.2021.9701512","DOIUrl":null,"url":null,"abstract":"In this work, a complete wireless wearable ElectroMyography (EMG) acquisition and analysis system, which employs reduced-graphene-oxide (rGO) coated-Nylon/Polyester-fabric sensors, is proposed. The electronic acquisition system is confirmed by comparing its measured EMG signal to the ones acquired by the commercial circuit Myoware. The measurements are carried out on bicep muscle and calf muscle. The results suggested that graphene-based smart fabrics can be used as a viable alternative to non-reusable Ag/AgCl electrodes for high-quality EMG monitoring. The proposed EMG data acquisition and analysis device is small and light-weight providing a smartclothes platform for convenient health tracking.","PeriodicalId":296963,"journal":{"name":"2021 8th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 8th NAFOSTED Conference on Information and Computer Science (NICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NICS54270.2021.9701512","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this work, a complete wireless wearable ElectroMyography (EMG) acquisition and analysis system, which employs reduced-graphene-oxide (rGO) coated-Nylon/Polyester-fabric sensors, is proposed. The electronic acquisition system is confirmed by comparing its measured EMG signal to the ones acquired by the commercial circuit Myoware. The measurements are carried out on bicep muscle and calf muscle. The results suggested that graphene-based smart fabrics can be used as a viable alternative to non-reusable Ag/AgCl electrodes for high-quality EMG monitoring. The proposed EMG data acquisition and analysis device is small and light-weight providing a smartclothes platform for convenient health tracking.