Quick search
Go!

ARTIFICIAL NEURAL NETWORK SYSTEM FOR CARDIAC RHYTHMS CLASSIFICATION


CULEA CATALINA
UNIVERSITY OF BACĂU

Issue:

MOCM, Number 10, Volume II

Section:

Issue No. 10 - Volume II (2004)

Abstract:

A system of two simulated Kohonen networks was used in patients undergoing electrophysiology studies for classification of the cardiac rhythm. The system was successful in detecting wide complex tachycardia and ventricular fibrillation after only a short period of training. Narrow complex tachycardia couldn't be easily distinguished from sinus tachycardia or atrial fibrillation with a rapid ventricular response. The system appears promissing for distinguishing the generally benign narrow complex tachycardias from the wide complex tachycardias that need in control of electric therapy by the device or physical therapy.

Keywords:

cardiac rhytm, electrophysiology, artificial neural network.

Code [ID]:

MOCM200410V02S01A0003 [0000680]


Copyright (c) 1995-2007 University of Bacău