توضیحات :
—In this work, we propose a new method for
prediction of Paroxysmal Atrial Fibrillation (PAF) by only
using the PR interval of ECG signal. We first obtain a
nonlinear structure and parameters of PR interval by a
Genetic Programming (GP) based algorithm. Next, we use the
neural networks for prediction of PAF. The inputs of the
neural networks are the parameters of nonlinear model of the
PR intervals. For the modeling and prediction we have limited
ourselves to only 30 seconds of an ECG signal, which is one of
the advantages of our proposed approach. For comparison
purposes, we have modeled 30 seconds of ECG signals by time
based modeling method and have compared prediction results
of them.
