An automatic system for the analysis and classification of human atrial fibrillation patterns from intracardiac electrograms

IEEE Transactions on Bio-medical Engineering
G NolloLorenzo Bruzzone

Abstract

This paper presents an automatic system for the analysis and classification of atrial fibrillation (AF) patterns from bipolar intracardiac signals. The system is made up of: 1) a feature-extraction module that defines and extracts a set of measures potentially useful for characterizing AF types on the basis of their degree of organization; 2) a feature-selection module (based on the Jeffries-Matusita distance and a branch and bound search algorithm) identifying the best subset of features for discriminating different AF types; and 3) a support vector machine technique-based classification module that automatically discriminates the AF types according to the Wells' criteria. The automatic system was applied on 100 intracardiac AF signal strips and on a selection of 11 representative features, demonstrating: a) the possibility to properly identify the most significant features for the discrimination of AF types; b) higher accuracy (97.7% using the seven most informative features) than the traditional maximum likelihood classifier; and c) effectiveness in AF classification also with few training samples (accuracy = 88.3% with only five training signals). Finally, the system identifies a combination of indices characterizing change...Continue Reading

References

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Citations

Apr 10, 2013·Medical Engineering & Physics·Raúl AlcarazJosé Joaquín Rieta
Jan 21, 2012·Biomedical Engineering Online·Edward J CiaccioHasan Garan
Nov 14, 2013·Pacing and Clinical Electrophysiology : PACE·Francisco CastellsJosé Millet
Apr 28, 2016·Biomedical Engineering Online·Andres Orozco-DuqueGerman Castellanos-Dominguez
Mar 18, 2015·Biomedizinische Technik. Biomedical Engineering·Christopher SchillingArmin Luik
Apr 20, 2017·Annals of Biomedical Engineering·Miguel Martínez-IniestaJosé J Rieta
May 9, 2012·Physiological Measurement·Raúl AlcarazJosé J Rieta
Oct 10, 2015·Physiological Measurement·A Orozco-DuqueJ Bustamante

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