Diagnosis of multiclass tachycardia beats Using recurrence quantification analysis And ensemble classifiers

Desai, Usha and Martis, Roshan Joy and Acharya, Rajendra U and Nayak, Gurudas C and Seshikala, G and Shetty, Ranjan K (2016) Diagnosis of multiclass tachycardia beats Using recurrence quantification analysis And ensemble classifiers. Journal of Mechanics in Medicine and Biology, 16 (1). ISSN 1793-6810

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Abstract

Atrial Fibrillation (A-Fib), Atrial Flutter (AFL) and Ventricular Fibrillation (V-Fib) are fatal cardiac abnormalities commonly affecting people in advanced age and have indication of lifethreatening condition. To detect these abnormal rhythms, Electrocardiogram (ECG) signal is most commonly visualized as a significant clinical tool. Concealed non-linearities in the ECG signal can be clearly unraveled using Recurrence Quantification Analysis (RQA) technique. In this paper, RQA features are applied for classifying four classes of ECG beats namely Normal Sinus Rhythm (NSR), A-Fib, AFL and V-Fib using ensemble classifiers. The clinically significant (p < 0:05) features are ranked and fed independently to three classifiers viz. Decision Tree (DT), Random Forest (RAF) and Rotation Forest (ROF) ensemble methods to select the best classifier. The training and testing of the feature set is accomplished using 10-fold crossvalidation strategy. The RQA coefficients using ROF provided an overall accuracy of 98.37% against 96.29% and 94.14% for the RAF and DT, respectively. The results achieved evidently ratify the superiority of ROF ensemble classifier in the diagnosis of A-Fib, AFL and V-Fib. Precision of four classes is measured using class-specific accuracy (%) and reliability of the performance is assessed using Cohen’s kappa statistic (�). The developed approach can be used in therapeutic devices and help the physicians in automatic monitoring of fatal tachycardia rhythms

Item Type: Article
Uncontrolled Keywords: ANOVA; decision tree; ensemble classifiers; feature ranking; recurrence plot; tachycardia.
Subjects: Medicine > KMC Manipal > Cardiology
Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 25 Feb 2016 11:40
Last Modified: 25 Feb 2016 11:40
URI: http://eprints.manipal.edu/id/eprint/145412

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