A Novel Automatic Detection System for ECG Arrhythmias Using Maximum Margin Clustering with Immune Evolutionary Algorithm

This paper presents a novel maximum margin clustering method with immune evolution (IEMMC) for automatic diagnosis of electrocardiogram (ECG) arrhythmias. This diagnostic system consists of signal processing, feature extraction, and the IEMMC algorithm for clustering of ECG arrhythmias. First, raw E...

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Detalles Bibliográficos
Autores principales: Zhu, Bohui, Ding, Yongsheng, Hao, Kuangrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3652208/
https://www.ncbi.nlm.nih.gov/pubmed/23690875
http://dx.doi.org/10.1155/2013/453402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3652208/
https://www.ncbi.nlm.nih.gov/pubmed/23690875
http://dx.doi.org/10.1155/2013/453402

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