A Morphology-Preserving Algorithm for Denoising of EMG-Contaminated ECG Signals.

Vladimir Atanasoski^1,2, Jovana Petrovic^1,2, Lana Popovic Maneski³, Marjan Miletic^1,2, Milos Babic⁴, Aleksandra Nikolic⁴, Dorin Panescu⁵, Marija D Ivanovic^1,2

¹Vinca Institute of Nuclear Sciences 11351 Belgrade Serbia.

²HeartBeam, Inc. Santa Clara CA 95050 USA.

³Group for Biomedical Engineering and Nanobiotechnology, Institute of Technical Sciences of the SASA 11000 Belgrade Serbia.

⁴Institute for Cardiovascular Diseases Dedinje, Serbia 11040 Belgrade Serbia.

⁵BIOTRONIK CRC EP Santa Clara CA 95050 USA.

PubMed PMC DOI PDF

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 method (IR…

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