Research Article Open Access

Separation of EMG Signals from the Mixture of ECG-EMG Signals by Using Polynomial Coefficients Estimation

Abstract

This paper presents a compact approach for removing the presence of electrocardiograms (ECG) in surface electromyography (EMG) signals. Electromyography (EMG) is a technique used to evaluate the activity of muscles to extract accurate information. Recording of a clean and undistorted electromyography (EMG) signal is a must for that. ECG can be significantly suppressed from the mixture by preserving most of the EMG signal content at low frequencies. Some of the artefacts that could affect EMG signals, such as crosstalk, can be avoided or minimized by a correct placement of the surface electrodes on the skin. While recording the EMG signal, it is often contaminated by the ECG signal. This artefact can hardly be avoided. So in order to extract valid information of the EMG signal, it is necessary to process the EMG signal to remove the ECG signal. The proposed method outperforms reference methods as it causes smallest distortion and the preservation of EMG at low frequencies (bandwidth 0–20 Hz).

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