Inter-patient ECG heartbeat classification with temporal VCG optimized by PSO.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorGarcia, Gabriel-
Autor(es): dc.creatorMoreira, Gladston Juliano Prates-
Autor(es): dc.creatorGomes, David Menotti-
Autor(es): dc.creatorLuz, Eduardo José da Silva-
Data de aceite: dc.date.accessioned2025-08-21T15:16:47Z-
Data de disponibilização: dc.date.available2025-08-21T15:16:47Z-
Data de envio: dc.date.issued2018-01-30-
Data de envio: dc.date.issued2018-01-30-
Data de envio: dc.date.issued2017-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/9392-
Fonte completa do material: dc.identifierhttps://doi.org/10.1038/s41598-017-09837-3-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1008990-
Descrição: dc.descriptionClassifying arrhythmias can be a tough task for a human being and automating this task is highly desirable. Nevertheless fully automatic arrhythmia classification through Electrocardiogram (ECG) signals is a challenging task when the inter-patient paradigm is considered. For the inter-patient paradigm, classifiers are evaluated on signals of unknown subjects, resembling the real world scenario. In this work, we explore a novel ECG representation based on vectorcardiogram (VCG), called temporal vectorcardiogram (TVCG), along with a complex network for feature extraction. We also fine-tune the SVM classifier and perform feature selection with a particle swarm optimization (PSO) algorithm. Results for the inter-patient paradigm show that the proposed method achieves the results comparable to state-of-the-art in MIT-BIH database (53% of Positive predictive (+P) for the Supraventricular ectopic beat (S) class and 87.3% of Sensitivity (Se) for the Ventricular ectopic beat (V) class) that TVCG is a richer representation of the heartbeat and that it could be useful for problems involving the cardiac signal and pattern recognition.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsaberto-
Direitos: dc.rightsOs trabalhos publicados no periódico Scientific Reports estão sob Licença Creative Commons que permite copiar, distribuir e transmitir o trabalho desde que sejam citados o autor e o licenciante. Fonte: Sherpa/Romeo <http://www.sherpa.ac.uk/romeo/search.php?issn=2045-2322>. Acesso em: 27 fev. 2020.-
Título: dc.titleInter-patient ECG heartbeat classification with temporal VCG optimized by PSO.-
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