TY  - JOUR
AU  - Atanasoski, Vladimir
AU  - Petrovic, Jovana
AU  - Popović Maneski, Lana
AU  - Miletić, Marjan
AU  - Babić, Miloš
AU  - Nikolić, Aleksandra
AU  - Panescu, Dorin
AU  - Ivanović, Marija D.
PY  - 2023
UR  - https://dais.sanu.ac.rs/123456789/15362
AB  - 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.
PB  - Institute of Electrical and Electronics Engineers (IEEE)
T2  - IEEE Open Journal of Engineering in Medicine and Biology
T1  - A database of simultaneously recorded ECG signals with and without EMG noise
SP  - 222
EP  - 4
VL  - 225
DO  - 10.1109/OJEMB.2023.3330295
UR  - https://hdl.handle.net/21.15107/rcub_dais_15362
ER  - 

@article{
author = "Atanasoski, Vladimir and Petrovic, Jovana and Popović Maneski, Lana and Miletić, Marjan and Babić, Miloš and Nikolić, Aleksandra and Panescu, Dorin and Ivanović, Marija D.",
year = "2023",
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.",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
journal = "IEEE Open Journal of Engineering in Medicine and Biology",
title = "A database of simultaneously recorded ECG signals with and without EMG noise",
pages = "222-4",
volume = "225",
doi = "10.1109/OJEMB.2023.3330295",
url = "https://hdl.handle.net/21.15107/rcub_dais_15362"
}

Atanasoski, V., Petrovic, J., Popović Maneski, L., Miletić, M., Babić, M., Nikolić, A., Panescu, D.,& Ivanović, M. D.. (2023). A database of simultaneously recorded ECG signals with and without EMG noise. in IEEE Open Journal of Engineering in Medicine and Biology
Institute of Electrical and Electronics Engineers (IEEE)., 225, 222-4.
https://doi.org/10.1109/OJEMB.2023.3330295
https://hdl.handle.net/21.15107/rcub_dais_15362

Atanasoski V, Petrovic J, Popović Maneski L, Miletić M, Babić M, Nikolić A, Panescu D, Ivanović MD. A database of simultaneously recorded ECG signals with and without EMG noise. in IEEE Open Journal of Engineering in Medicine and Biology. 2023;225:222-4.
doi:10.1109/OJEMB.2023.3330295
https://hdl.handle.net/21.15107/rcub_dais_15362 .

Atanasoski, Vladimir, Petrovic, Jovana, Popović Maneski, Lana, Miletić, Marjan, Babić, Miloš, Nikolić, Aleksandra, Panescu, Dorin, Ivanović, Marija D., "A database of simultaneously recorded ECG signals with and without EMG noise" in IEEE Open Journal of Engineering in Medicine and Biology, 225 (2023):222-4,
https://doi.org/10.1109/OJEMB.2023.3330295 .,
https://hdl.handle.net/21.15107/rcub_dais_15362 .