Atrial fibrillation subtypes classification using the General Fourier-family Transform

Fecha de publicación:

Autores de IIS La Fe

Participantes ajenos a IIS La Fe

  • Ayala G
  • Galbis A
  • Fernández C

Grupos

Abstract

Atrial fibrillation patients can be classified into paroxysmal, persistent and permanent attending to the temporal pattern of this arrhythmia. The surface electrocardiogram hides this differentiation. A classification method to discriminate between the different subtypes of atrial fibrillation by using short segments of electrocardiograms recordings is presented. We will process the electrocardiograms (ECGs) using time-frequency techniques with a global accuracy of 80%. Real cases are evaluated showing promising results for an implementation in a semiautomated diagnostic system. (C) 2013 IPEM. Published by Elsevier Ltd. All rights reserved.

Datos de la publicación

ISSN/ISSNe:
1350-4533, 1873-4030

MEDICAL ENGINEERING & PHYSICS  ELSEVIER SCI LTD

Tipo:
Article
Páginas:
554-560
PubMed:
24378383
Factor de Impacto:
0,746 SCImago
Cuartil:
Q2 SCImago

Citas Recibidas en Web of Science: 10

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Keywords

  • Atrial fibrillation; Time-frequency transforms; S-transform; Generalized Fourier Transform

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