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Spatio Temporal Filtering of Multi-lead ECG Signals for Atrial Arrhythmia Classification
dc.contributor.author | Giraldo-Guzman, Jader | |
dc.contributor.author | Contreras-Ortiz, Sonia H. | |
dc.contributor.author | Castells, Francisco | |
dc.contributor.author | Kotas, Marian | |
dc.coverage.spatial | Colombia | |
dc.date.accessioned | 2023-07-18T19:31:46Z | |
dc.date.available | 2023-07-18T19:31:46Z | |
dc.date.issued | 2021-10 | |
dc.date.submitted | 2023-07 | |
dc.identifier.citation | J. Giraldo-Guzman, S. H. Contreras-Ortiz, F. Castells and M. Kotas, "Spatio Temporal Filtering of Multi-lead ECG Signals for Atrial Arrhythmia Classification," 2021 IEEE 2nd International Congress of Biomedical Engineering and Bioengineering (CI-IB&BI), Bogota D.C., Colombia, 2021, pp. 1-6, doi: 10.1109/CI-IBBI54220.2021.9626098. | spa |
dc.identifier.uri | https://hdl.handle.net/20.500.12585/12140 | |
dc.description.abstract | Atrial fibrillation (AF) is the most common cardiac arrhythmia and increases the risk of suffering stroke. Some people with AF do not have symptoms, so, its diagnosis can be difficult, especially in early stages of the disease. In this paper, we propose the use of the spatio-Temporal filter (STF) to characterize atrial activity in ECG recordings and distinguish between normal sinus rhythm (NSR) and atrial arrhythmias. This method allows the effective detection of P waves when they are synchronized with QRS complexes. The distances from the QRS complexes to the detected P waves are characterized by seven dispersion metrics that are used as inputs to three clustering algorithms. The results show classification accuracy of up to 98.88% of NSR and atrial arrhythmias. | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | eng | spa |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.source | 2021 IEEE 2nd International Congress of Biomedical Engineering and Bioengineering, CI-IB and BI 2021 | spa |
dc.title | Spatio Temporal Filtering of Multi-lead ECG Signals for Atrial Arrhythmia Classification | spa |
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datacite.rights | http://purl.org/coar/access_right/c_abf2 | spa |
oaire.version | http://purl.org/coar/version/c_b1a7d7d4d402bcce | spa |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.hasversion | info:eu-repo/semantics/draft | spa |
dc.identifier.doi | 10.1109/CI-IBBI54220.2021.9626098 | |
dc.subject.keywords | Atrial fibrillation | spa |
dc.subject.keywords | ECG signal processing | spa |
dc.subject.keywords | P wave | spa |
dc.subject.keywords | QRST cancellation | spa |
dc.subject.keywords | Spatio-Temporal filtering | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.rights.cc | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.identifier.instname | Universidad Tecnológica de Bolívar | spa |
dc.identifier.reponame | Repositorio Universidad Tecnológica de Bolívar | spa |
dc.publisher.place | Cartagena de Indias | spa |
dc.type.spa | http://purl.org/coar/resource_type/c_6501 | spa |
oaire.resourcetype | http://purl.org/coar/resource_type/c_2df8fbb1 | spa |
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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.