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Computational and Mathematical Methods in Medicine
Volume 2012, Article ID 436281, 9 pages
http://dx.doi.org/10.1155/2012/436281
Research Article

A Hybrid Model of Maximum Margin Clustering Method and Support Vector Regression for Noninvasive Electrocardiographic Imaging

1School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China
2School of Information Technology and Electrical Engineering, University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia
3School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA

Received 3 August 2012; Accepted 8 October 2012

Academic Editor: Dingchang Zheng

Copyright © 2012 Mingfeng Jiang 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

Mingfeng Jiang, Feng Liu, Yaming Wang, Guofa Shou, Wenqing Huang, and Huaxiong Zhang, “A Hybrid Model of Maximum Margin Clustering Method and Support Vector Regression for Noninvasive Electrocardiographic Imaging,” Computational and Mathematical Methods in Medicine, vol. 2012, Article ID 436281, 9 pages, 2012. https://doi.org/10.1155/2012/436281.