Arrhythmia classification using two intercardiac leads

Author

Leong, PHW ; Jabri, M.A.

Author_Institution

Dept. of Electr. Eng., Sydney Univ., NSW, Australia

fYear

1991

fDate

23-26 Sep 1991

Firstpage

189

Lastpage

192

Abstract

A real-time, two lead intracardiac electrogram (ICEG) classification algorithm is presented. The algorithm combines timing and morphology analysis of atrial and ventricular channels of the ICEG signal. Timing analysis is used to identify most tachycardias, but for situations where timing cannot be used to identify the tachycardia, a neural-network-based morphology classification algorithm is used. The algorithm achieved 99.6% correct classification on a database of ICEG signals containing 11290 QRS complexes from 61 patients. An implementation of the algorithm in VLSI is described

Keywords

computerised signal processing; electrocardiography; medical diagnostic computing; waveform analysis; 2-lead intracardiac electrogram; QRS complexes; VLSI implementation; arrhythmia classification; morphology analysis; neural-network-based morphology classification algorithm; real-time algorithm; signal database; tachycardia; timing analysis; Algorithm design and analysis; Backpropagation algorithms; Classification algorithms; Databases; Detectors; Logic; Materials testing; Morphology; Neural networks; Timing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1991, Proceedings.

Conference_Location

Venice

Print_ISBN

0-8186-2485-X

Type

conf

DOI

10.1109/CIC.1991.169077

Filename

169077