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Comparison between unipolar and bipolar electrograms for detecting rotor tip from 2D fibrillation model using image fusion. A simulation study
dc.creator | Duarte-Salazar C.A. | spa |
dc.creator | Orozco-Duque A. | spa |
dc.creator | Tobón C. | spa |
dc.creator | Peluffo-Ordóñez D.H. | spa |
dc.creator | Luna J.A.G. | spa |
dc.creator | Becerra M.A. | spa |
dc.date.accessioned | 2017-12-19T19:36:44Z | |
dc.date.available | 2017-12-19T19:36:44Z | |
dc.date.created | 2017 | |
dc.identifier.isbn | 9781509051052 | |
dc.identifier.uri | http://hdl.handle.net/11407/4278 | |
dc.description.abstract | The atrial fibrillation (AF) is the most common arrhythmia, which generates the highest costs on clinical systems. Theory of the rotor is one of the most recent approaches to explain the mechanisms that maintain AF. The most promising treatment is the ablation, whose success depends on rotor tip location. In a previous research, the approximate entropy (ApEn) calculated on simulated electrograms from atrial models has shown high capability for detecting the rotor tip, however it needed a human final adjustment. In addition, this technique involves a high computational cost, which is a problem for its effective application. In this study, multiple features maps were generated and different combinations of them were conducted using wavelet image fusion. The rotor tip location when using image fusion, was similar to the results achieved with the methodology based on ApEn, however, our methodology did not require any manual adjustment, and the computational cost was reduced to 85%. This study includes a comparative analysis between unipolar and bipolar electrograms obtained from a simulated 2D model of a human atrial tissue under chronic AF. © 2016 IEEE. | eng |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | spa |
dc.relation.isversionof | http://ieeexplore.ieee.org/document/7885712/?reload=true | spa |
dc.source | Scopus | spa |
dc.title | Comparison between unipolar and bipolar electrograms for detecting rotor tip from 2D fibrillation model using image fusion. A simulation study | spa |
dc.type | Conference Paper | eng |
dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | |
dc.contributor.affiliation | Duarte-Salazar, C.A., GEA Research Group, Institución Universitaria Salazar y Herrera, Medellín, Colombia | spa |
dc.contributor.affiliation | Orozco-Duque, A., GI2B Research Group, Instituto Tecnológico Metropolitano, Medellín, Colombia | spa |
dc.contributor.affiliation | Tobón, C., Nanostructured Materials Research Group, Universidad de Medellín, Medellín, Colombia | spa |
dc.contributor.affiliation | Peluffo-Ordóñez, D.H., Facultad de Ingeniería en Ciencias Aplicadas-FICA, Universidad Técnica Del Norte, Ecuador, Department of Electronics from Universidad de Nariño, Colombia | spa |
dc.contributor.affiliation | Luna, J.A.G., SINTELWEB Research Group, Universidad Nacional de Colombia, Medellín, Colombia | spa |
dc.contributor.affiliation | Becerra, M.A., GEA Research Group, Institución Universitaria Salazar y Herrera, Medellín, Colombia | spa |
dc.identifier.doi | 10.1109/LA-CCI.2016.7885712 | |
dc.subject.keyword | Atrial Fibrillation | eng |
dc.subject.keyword | Electrograms | eng |
dc.subject.keyword | Image Fusion | eng |
dc.subject.keyword | Rotor Tip | eng |
dc.subject.keyword | Artificial intelligence | eng |
dc.subject.keyword | Computation theory | eng |
dc.subject.keyword | Costs | eng |
dc.subject.keyword | Diseases | eng |
dc.subject.keyword | Approximate entropy | eng |
dc.subject.keyword | Atrial fibrillation | eng |
dc.subject.keyword | Bipolar electrograms | eng |
dc.subject.keyword | Comparative analysis | eng |
dc.subject.keyword | Computational costs | eng |
dc.subject.keyword | Electrograms | eng |
dc.subject.keyword | Rotor tip | eng |
dc.subject.keyword | Simulation studies | eng |
dc.subject.keyword | Image fusion | eng |
dc.publisher.faculty | Facultad de Ciencias Básicas | spa |
dc.abstract | The atrial fibrillation (AF) is the most common arrhythmia, which generates the highest costs on clinical systems. Theory of the rotor is one of the most recent approaches to explain the mechanisms that maintain AF. The most promising treatment is the ablation, whose success depends on rotor tip location. In a previous research, the approximate entropy (ApEn) calculated on simulated electrograms from atrial models has shown high capability for detecting the rotor tip, however it needed a human final adjustment. In addition, this technique involves a high computational cost, which is a problem for its effective application. In this study, multiple features maps were generated and different combinations of them were conducted using wavelet image fusion. The rotor tip location when using image fusion, was similar to the results achieved with the methodology based on ApEn, however, our methodology did not require any manual adjustment, and the computational cost was reduced to 85%. This study includes a comparative analysis between unipolar and bipolar electrograms obtained from a simulated 2D model of a human atrial tissue under chronic AF. © 2016 IEEE. | eng |
dc.creator.affiliation | GEA Research Group, Institución Universitaria Salazar y Herrera, Medellín, Colombia | spa |
dc.creator.affiliation | GI2B Research Group, Instituto Tecnológico Metropolitano, Medellín, Colombia | spa |
dc.creator.affiliation | Nanostructured Materials Research Group, Universidad de Medellín, Medellín, Colombia | spa |
dc.creator.affiliation | Facultad de Ingeniería en Ciencias Aplicadas-FICA, Universidad Técnica Del Norte, Ecuador | spa |
dc.creator.affiliation | Department of Electronics from Universidad de Nariño, Colombia | spa |
dc.creator.affiliation | SINTELWEB Research Group, Universidad Nacional de Colombia, Medellín, Colombia | spa |
dc.relation.ispartofes | 2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings | spa |
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dc.type.version | info:eu-repo/semantics/publishedVersion | |
dc.type.driver | info:eu-repo/semantics/conferenceObject | |
dc.identifier.reponame | reponame:Repositorio Institucional Universidad de Medellín | spa |
dc.identifier.instname | instname:Universidad de Medellín | spa |
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