A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise

Vladimir Atanasoski; Jovana Petrovic; Lana Popovic Maneski; Marjan Miletic; Milos Babic; Aleksandra Nikolic; Dorin Panescu; Marija D Ivanovic

doi:10.1109/OJEMB.2023.3330295

A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise

IEEE Open J Eng Med Biol. 2023 Nov 7:4:222-225. doi: 10.1109/OJEMB.2023.3330295. eCollection 2023.

Authors

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}

Affiliations

¹ Vinca Institute of Nuclear Sciences 11351 Belgrade Serbia.
² HeartBeam, Inc. Santa Clara CA 95050 USA.
³ Department of Institute of Technical Sciences of the SASA 11000 Belgrade Serbia.
⁴ Institute for Cardiovascular Diseases Dedinje 11040 Belgrade Serbia.
⁵ BIOTRONIK CRC EP, Inc. Santa Clara CA 12444 USA.

Abstract

Goal: Noise on recorded electrocardiographic (ECG) signals may affect their clinical interpretation. Electromyographic (EMG) noise spectrally coincides with the QRS complex, which makes its removal particularly challenging. The problem of evaluating the noise-removal techniques has commonly been approached by algorithm testing on the contaminated ECG signals constructed ad hoc as an additive mixture of a noise-free ECG signal and noise. Consequently, there is an absence of a unique/standard database for testing and comparing different denoising methods. We present a SimEMG database recorded by a novel acquisition method that allows for direct recording of the genuine EMG-noise-free and -contaminated ECG signals. The database is available as open source.

Keywords: ECG acquisition; EMG noise; denoising.

Grants and funding

This work was supported in part by the Ministry of Science, Technological Development and Innovation, under INN Vinča contract 451-03-47/2023-01/200017 and ITS-SASA contract 451-03-68/2022-14/200175.