Feature selection using support vector machines and bootstrap methods for ventricular fibrillation detection-Reference-Cited by-同舟云学术

Feature selection using support vector machines and bootstrap methods for ventricular fibrillation detection

Published:2012-02 Issue:2 Volume:39 Page:1956-1967
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Alonso-Atienza Felipe,Rojo-Álvarez José Luis,Rosado-Muñoz Alfredo,Vinagre Juan J.,García-Alberola Arcadi,Camps-Valls Gustavo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference67 articles.

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4. Activation of inward rectifier potassium channels accelerates atrial fibrillation in humans: Evidence for a reentrant mechanism;Atienza;Circulation,2006

5. Aubert, A. E., Denys, B. C., Ector, H., & Geest, H. D. (1982). Fibrillation recognition using autocorrelation analysis. In IEEE computers in cardiology, (pp. 477–489).

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