{"title":"A USB based data acquisition system for EMG signal recording","authors":"S. Boukhenous, N. Meziane, M. Attari, Y. Remram","doi":"10.1109/WOSSPA.2013.6602367","DOIUrl":null,"url":null,"abstract":"In the present paper, we present the design of a USB-based data acquisition system to record Electromyogram signal (EMG). Three gelled Silver/Silver chloride (Ag/AgCl) electrodes were set on the upper layer of the skin surface (stratum corneum) in all the conducted experiments. The raw signal which is a low level voltage (μV to mV) is processed and filtered by a low-power consumption amphfier. The analog signal was digitized by an AN2131QC QC microcontroller kit based on the 8051 industrial core. The data were instantly sent to a laptop through a USB link. Then, some processing tools were built around MATLAB software and were applied to the data for temporal and frequenciel representation of the corresponding electromyogram signal.","PeriodicalId":417940,"journal":{"name":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOSSPA.2013.6602367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In the present paper, we present the design of a USB-based data acquisition system to record Electromyogram signal (EMG). Three gelled Silver/Silver chloride (Ag/AgCl) electrodes were set on the upper layer of the skin surface (stratum corneum) in all the conducted experiments. The raw signal which is a low level voltage (μV to mV) is processed and filtered by a low-power consumption amphfier. The analog signal was digitized by an AN2131QC QC microcontroller kit based on the 8051 industrial core. The data were instantly sent to a laptop through a USB link. Then, some processing tools were built around MATLAB software and were applied to the data for temporal and frequenciel representation of the corresponding electromyogram signal.