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  • 标题:Separation of EMG Signals from the Mixture of ECG-EMG Signals by Using Polynomial Coefficients Estimation
  • 本地全文:下载
  • 作者:K. Elamathi ; M.Bhuvaneswaran
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2014
  • 卷号:3
  • 期号:11
  • 页码:17688
  • DOI:10.15680/IJIRSET.2014.0311083
  • 出版社:S&S Publications
  • 摘要:This paper presents a compact approach for removing the presence of electrocardiograms (ECG) insurface electromyography (EMG) signals. Electromyography (EMG) is a technique used to evaluate the activity ofmuscles to extract accurate information. Recording of a clean and undistorted electromyography (EMG) signal is amust for that. ECG can be significantly suppressed from the mixture by preserving most of the EMG signal content atlow frequencies. Some of the artefacts that could affect EMG signals, such as crosstalk, can be avoided or minimizedby a correct placement of the surface electrodes on the skin. While recording the EMG signal, it is often contaminatedby the ECG signal. This artefact can hardly be avoided. So in order to extract valid information of the EMG signal, it isnecessary to process the EMG signal to remove the ECG signal. The proposed method outperforms reference methodsas it causes smallest distortion and the preservation of EMG at low frequencies (bandwidth 0–20 Hz).
  • 关键词:CG;EEG;EMG;frequency
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