A morphology-preserving algorithm for denoising of EMG-contaminated ECG signals

A morphology-preserving algorithm for denoising of EMG-contaminated ECG signals 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Abstract:

Goal: Clinical interpretation of an electrocardiogram (ECG) can be detrimentally affected by noise. Removal of the electromyographic (EMG) noise is particularly challenging due to its spectral overlap with the QRS complex. The existing EMG-denoising algorithms often distort signal morphology, thus obscuring diagnostically relevant information. Methods: Here, a new iterative regeneration …

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