A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise
<italic>Goal:</italic> 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 tec...
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| Format: | Article |
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IEEE
2023-01-01
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| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
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| Online Access: | https://ieeexplore.ieee.org/document/10311398/ |
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| author | Vladimir Atanasoski Jovana Petrovic Lana Popovic Maneski Marjan Miletic Milos Babic Aleksandra Nikolic Dorin Panescu Marija D. Ivanovic |
| author_facet | Vladimir Atanasoski Jovana Petrovic Lana Popovic Maneski Marjan Miletic Milos Babic Aleksandra Nikolic Dorin Panescu Marija D. Ivanovic |
| author_sort | Vladimir Atanasoski |
| collection | DOAJ |
| description | <italic>Goal:</italic> 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 <italic>ad hoc</italic> 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. |
| format | Article |
| id | doaj-art-f3ba4e6df1c543369d61c39e73c24a7f |
| institution | Matheson Library |
| issn | 2644-1276 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Engineering in Medicine and Biology |
| spelling | doaj-art-f3ba4e6df1c543369d61c39e73c24a7f2025-07-02T00:10:46ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762023-01-01422222510.1109/OJEMB.2023.333029510311398A Database of Simultaneously Recorded ECG Signals With and Without EMG NoiseVladimir Atanasoski0https://orcid.org/0000-0003-1695-6341Jovana Petrovic1https://orcid.org/0000-0002-1002-241XLana Popovic Maneski2https://orcid.org/0000-0002-9498-5546Marjan Miletic3https://orcid.org/0000-0002-8476-4141Milos Babic4https://orcid.org/0000-0002-3226-003XAleksandra Nikolic5https://orcid.org/0000-0003-2724-2854Dorin Panescu6Marija D. Ivanovic7https://orcid.org/0000-0002-7218-6575Vinca Institute of Nuclear Sciences, Belgrade, SerbiaVinca Institute of Nuclear Sciences, Belgrade, SerbiaDepartment of Institute of Technical Sciences of the SASA, Belgrade, SerbiaVinca Institute of Nuclear Sciences, Belgrade, SerbiaInstitute for Cardiovascular Diseases Dedinje, Belgrade, SerbiaInstitute for Cardiovascular Diseases Dedinje, Belgrade, SerbiaBIOTRONIK CRC EP, Inc., Santa Clara, CA, USAVinca Institute of Nuclear Sciences, Belgrade, Serbia<italic>Goal:</italic> 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 <italic>ad hoc</italic> 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.https://ieeexplore.ieee.org/document/10311398/ECG acquisitionEMG noisedenoising |
| spellingShingle | Vladimir Atanasoski Jovana Petrovic Lana Popovic Maneski Marjan Miletic Milos Babic Aleksandra Nikolic Dorin Panescu Marija D. Ivanovic A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise IEEE Open Journal of Engineering in Medicine and Biology ECG acquisition EMG noise denoising |
| title | A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise |
| title_full | A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise |
| title_fullStr | A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise |
| title_full_unstemmed | A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise |
| title_short | A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise |
| title_sort | database of simultaneously recorded ecg signals with and without emg noise |
| topic | ECG acquisition EMG noise denoising |
| url | https://ieeexplore.ieee.org/document/10311398/ |
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