Models of Markov Chain with Weights and Its Application in Predicting the Magnetic Field Intensity of Magnetocardiogram Signal

Abstract

Magnetocardiogram (MCG) signal is a kind of non-stationary signal reflecting the changes of cardiac magnetic field. It has practical significance to study the MCG signal and predict its change trend, which can help to analyze cardiac electrophysiological activities. In this article, Markov verification is carried out on MCG signals, it was possible to predict the magnetic field intensity of the MCG signal by Markov chain. Combined with the initial data acquired by the SQUID, it was feasible to predict the magnetic field intensity of the MCG signal by models of Markov chain with weights.