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Computational and Mathematical Methods in Medicine
Volume 2013 (2013), Article ID 453402, 8 pages
http://dx.doi.org/10.1155/2013/453402
Research Article

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

1College of Information Sciences and Technology, Donghua University, Shanghai 201620, China
2Engineering Research Center of Digitized Textile & Fashion Technology, Ministry of Education, Donghua University, Shanghai 201620, China

Received 19 January 2013; Revised 1 April 2013; Accepted 2 April 2013

Academic Editor: Shengyong Chen

Copyright © 2013 Bohui Zhu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Bohui Zhu, Yongsheng Ding, and Kuangrong Hao, “A Novel Automatic Detection System for ECG Arrhythmias Using Maximum Margin Clustering with Immune Evolutionary Algorithm,” Computational and Mathematical Methods in Medicine, vol. 2013, Article ID 453402, 8 pages, 2013. doi:10.1155/2013/453402