{"title":"基于USB的肌电信号记录数据采集系统","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":"{\"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}","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}
A USB based data acquisition system for EMG signal recording
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.