Document Type : Full Research Paper


1 Assistant Professor, Department of Biomedical Engineering, Dezful Branch, Islamic Azad University,

2 Professor, Department of Medical Physics, Tarbiat Modares University

3 Assistant Professor, Department of Physical Therapy, Tarbiat Modares University



The collected electromyogram (EMG) signals from trunk musculature (e.g., rectus abdominis and external oblique muscle) are often contaminated with the heart muscle electrical activity (ECG). This paper introduces a novel method, the Empirical Mode Decomposition, for elimination of ECG contamination from EMG signals. The method is compared to a Butterworth high pass filtering. Results obtained from the analysis of generated and experimental EMG signals show that our method outperforms the high pass filtering for elimination of ECG contamination from trunk EMG signals.


Main Subjects

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