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A New Approach for ICD Rhythm Classification based on Support Vector Machines Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society Kamousi, B., Tewfik, A., Lin, B., Al-Ahmad, A., Hsia, H., Zei, P., Wang, P. IEEE. 2009: 2478–2481

Abstract

Inappropriate shocks due to misclassification of supraventricular and ventricular arrhythmias remain a major problem in the care of patients with Implantable Cardioverter Defibrillators (ICDs). The purpose of this study was to investigate the ability of a new covariance-based support vector machine classifier, to distinguish ventricular tachycardia from other rhythms such as supraventricular tachycardia. The proposed algorithm is applicable on both single and dual chamber ICDs and has a low computational demand. The results demonstrate that suggested algorithm has considerable promise and merits further investigation.

View details for Web of Science ID 000280543601357

View details for PubMedID 19964965