{"title":"Instrumentation of a portable EMG sensor in a single PCB for human motion pattern detection","authors":"A. Narayan, H. Dasgupta, Himangshu Pal","doi":"10.1109/ISPTS.2015.7220069","DOIUrl":null,"url":null,"abstract":"The objective of this work is to make a Surface Electromyography (EMG) signal detection sensor to test and analyze human motion pattern. EMG signal has a very small amplitude level and a frequency range of 20 Hz to 200 Hz. In order to realize the sensor, a circuit and its single layer PCB has been designed to amplify and filter the differential potential between Ag/AgCl electrodes at different points. After that the signal has been stored in computer using NI ELVIS II (DAQ) and LABVIEW at a sampling rate of 1000Hz. Then the signal has been used to calculate the stride length of a particular foot by a single threshold comparison method. The ultimate result shows that the calculated and actual stride length matches in 89% of the cases.","PeriodicalId":6520,"journal":{"name":"2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS)","volume":"41 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPTS.2015.7220069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The objective of this work is to make a Surface Electromyography (EMG) signal detection sensor to test and analyze human motion pattern. EMG signal has a very small amplitude level and a frequency range of 20 Hz to 200 Hz. In order to realize the sensor, a circuit and its single layer PCB has been designed to amplify and filter the differential potential between Ag/AgCl electrodes at different points. After that the signal has been stored in computer using NI ELVIS II (DAQ) and LABVIEW at a sampling rate of 1000Hz. Then the signal has been used to calculate the stride length of a particular foot by a single threshold comparison method. The ultimate result shows that the calculated and actual stride length matches in 89% of the cases.
本工作的目的是制造一种表面肌电信号检测传感器来测试和分析人体的运动模式。肌电图信号的幅度非常小，频率范围为20 ~ 200 Hz。为了实现该传感器，设计了一个电路及其单层PCB来放大和滤波不同位置Ag/AgCl电极之间的差分电位。然后用NI ELVIS II (DAQ)和LABVIEW以1000Hz的采样率将信号存储在计算机中。然后用单阈值比较法计算某只脚的步长。最终结果表明，计算出的步幅和实际步幅在89%的情况下是匹配的。
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