Research on the Fitting Method for QRS Wave Group of ECG Signals Based on Ant Colony Algorithm

摘要

A mathematical fitting modeling method based on Ant Colony Algorithm and which can effectively reflect the intrinsic mechanism eigenvalue of ECG is studied. The measured ECG signals are taken as the research object, fitting methods are used to obtain multiple characteristic parameters, ITAE is used as the evaluation criteria, and then the parameters are acquired through the ant colony algorithm, in the end, the model of calculated parameters for ECG is established, this fitting way can not only enrich the date of ECG in QRS, but also provide effective data for further research such as magnetoelectricity inversion calculation, expanding the mathematical fitting method for analyzing discrete signals such as electrophysiology.