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Computational and Mathematical Methods in Medicine
Volume 2017, Article ID 3087407, 9 pages
https://doi.org/10.1155/2017/3087407
Research Article

Automated Classification of Severity in Cardiac Dyssynchrony Merging Clinical Data and Mechanical Descriptors

1Bioengineering Department, Instituto Tecnológico y de Estudios Superiores de Monterrey, Campus Ciudad de México, Mexico City, Mexico
2Neuroimaging Laboratory, Electrical Engineering Department, Universidad Autónoma Metropolitana Iztapalapa, Mexico City, Mexico
3Centro Medico ABC (American British Cowdray Hospital), Mexico City, Mexico
4Nuclear Cardiology Department, Instituto Nacional de Cardiología “Ignacio Chávez”, Mexico City, Mexico
5Engineering in Biomedical Systems Department, Faculty of Engineering, Universidad Nacional Autónoma de México, Mexico City, Mexico

Correspondence should be addressed to Luis Jiménez-Ángeles; gro.eeei@zenemij.siul

Received 2 September 2016; Revised 18 December 2016; Accepted 23 January 2017; Published 19 February 2017

Academic Editor: Marcelo Mamede

Copyright © 2017 Alejandro Santos-Díaz 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

Alejandro Santos-Díaz, Raquel Valdés-Cristerna, Enrique Vallejo, Salvador Hernández, and Luis Jiménez-Ángeles, “Automated Classification of Severity in Cardiac Dyssynchrony Merging Clinical Data and Mechanical Descriptors,” Computational and Mathematical Methods in Medicine, vol. 2017, Article ID 3087407, 9 pages, 2017. https://doi.org/10.1155/2017/3087407.