Computer Aided Diagnosis for atrial fibrillation based on new artificial adaptive systems.

Journal: Computer methods and programs in biomedicine
Published Date:

Abstract

BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is the most common cardiac arrhythmia in clinical practice, having been recognized as a true cardiovascular epidemic. In this paper, a new methodology for Computer Aided Diagnosis of AF based on a special kind of artificial adaptive systems has been developed.

Authors

  • Paolo Massimo Buscema
    Semeion Research Center of Sciences of Communication, via Sersale, 117, 00128 Rome, Italy; University of Colorado at Denver, Dept. Mathematical and Statistical Sciences, Denver, CO, USA. Electronic address: m.buscema@semeion.it.
  • Enzo Grossi
    Villa Santa Maria Foundation, Tavernerio, Italy. enzo.grossi@bracco.com.
  • Giulia Massini
    Semeion Research Center of Sciences of Communication, via Sersale, 117, 00128 Rome, Italy.
  • Marco Breda
    Semeion Research Center of Sciences of Communication, via Sersale, 117, 00128 Rome, Italy.
  • Francesca Della Torre
    2 Semeion Research Centre of Sciences of Communication, Rome, Italy.