A Morphology-Preserving Algorithm for Denoising of EMG-Contaminated ECG Signals.
| Autor: | Atanasoski V; Vinca Institute of Nuclear Sciences 11351 Belgrade Serbia.; HeartBeam, Inc. Santa Clara CA 95050 USA., Petrovic J; Vinca Institute of Nuclear Sciences 11351 Belgrade Serbia.; HeartBeam, Inc. Santa Clara CA 95050 USA., Maneski LP; Group for Biomedical Engineering and Nanobiotechnology, Institute of Technical Sciences of the SASA 11000 Belgrade Serbia., Miletic M; Vinca Institute of Nuclear Sciences 11351 Belgrade Serbia.; HeartBeam, Inc. Santa Clara CA 95050 USA., Babic M; Institute for Cardiovascular Diseases Dedinje, Serbia 11040 Belgrade Serbia., Nikolic A; Institute for Cardiovascular Diseases Dedinje, Serbia 11040 Belgrade Serbia., Panescu D; BIOTRONIK CRC EP Santa Clara CA 95050 USA., Ivanovic MD; Vinca Institute of Nuclear Sciences 11351 Belgrade Serbia.; HeartBeam, Inc. Santa Clara CA 95050 USA. |
|---|---|
| Jazyk: | angličtina |
| Zdroj: | IEEE open journal of engineering in medicine and biology [IEEE Open J Eng Med Biol] 2024 Mar 25; Vol. 5, pp. 296-305. Date of Electronic Publication: 2024 Mar 25 (Print Publication: 2024). |
| DOI: | 10.1109/OJEMB.2024.3380352 |
| Abstrakt: | 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 (IRM) for efficient EMG-noise suppression is proposed. The main hypothesis is that the temporary removal of the dominant ECG components enables extraction of the noise with the minimum alteration to the signal. The method is validated on SimEMG database of simultaneously recorded reference and noisy signals, MIT-BIH arrhythmia database and synthesized ECG signals, both with the noise from MIT Noise Stress Test Database. Results: IRM denoising and morphology-preserving performance is superior to the wavelet- and FIR-based benchmark methods. Conclusions : IRM is reliable, computationally non-intensive, fast and applicable to any number of ECG channels recorded by mobile or standard ECG devices. Competing Interests: The authors declare no conflict of interest. (© 2024 The Authors.) |
| Databáze: | MEDLINE |
| Externí odkaz: |
|