A Morphology-Preserving Algorithm for Denoising of EMG-Contaminated ECG Signals-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:5 Page:296-305
ISSN:2644-1276
Container-title:IEEE Open Journal of Engineering in Medicine and Biology
language:
Short-container-title:IEEE Open J. Eng. Med. Biol.

Author:

Atanasoski Vladimir¹^ORCID,Petrović Jovana¹^ORCID,Maneski Lana Popović²^ORCID,Miletić Marjan¹^ORCID,Babić Miloš³^ORCID,Nikolić Aleksandra³^ORCID,Panescu Dorin⁴,Ivanović Marija D.¹^ORCID

Affiliation:

1. Vinca Institute of Nuclear Sciences, Belgrade, Serbia

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

3. Institute for Cardiovascular Diseases Dedinje, Serbia, Belgrade, Serbia

4. BIOTRONIK CRC EP, Santa Clara, CA, USA

Funder

Ministry of Science, Technological Development and Innovation, INN Vinča

ITS-SASA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8782705/10443311/10479179.pdf?arnumber=10479179

Reference33 articles.

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2. Noise and artifacts;Sornmo,2005

3. Assessing the accuracy of an automated atrial fibrillation detection algorithm using smartphone technology: The iREAD Study

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5. Coronary Artery Occlusion Detection Using 3-Lead ECG System Suitable for Credit Card-Size Personal Device Integration

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