Support vector black-box interpretation in ventricular arrhythmia discrimination.

Support vector black-box interpretation in ventricular arrhythmia discrimination.

A new discrimination algorithm, based on the analysis of ventricular electrogram (EGM) onset, was proposed in order to discriminate between supraventricular and ventricular tachycardias (SVTs and VTs) in implantable cardioverter defibrillators (ICDs). Due to the absence of a detailed statistical mod...

Täydet tiedot

Bibliografiset tiedot
Julkaisussa:IEEE Engineering in medicine and biology magazine 21, 1 (2002).
Päätekijä: Rojo-Alvarez, J.L
Aineistotyyppi: Artikkeli
Kieli:English
Aiheet:
Activation time state.
Bootstrap resampling.
Geometrical analysis.
Implantable cardioverter defibrillators.
Incremental learning.
Input feature space.
Statistical model.
Support vector black-box interpretation.
Support vector learning machine.
Supraventricular tachycardia.
Ventricular arrhythmia discrimination.
Ventricular electrogram onset.
Ventricular tachycardia.