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

Conference Object

Abstract: Early detection of ventricular fibrillation (VF) is crucial for the success of the defibrillation th

Palabras claves:

Arrhythmia classification, Bootstrap, feature selection, SUPPORT VECTOR MACHINES, Ventricular fibrillation detection

Autores:

Alonso-Atienza F., Camps-Valls G., GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Rosado-Muñoz A., Vinagre J.J.

Fuentes:

scopus