Research on the Poincare mapping method of T-wave alternans based on morphology.
- Author:
Hui GUO
1
;
Jie ZHAO
;
Fei LI
;
Tiantian LI
Author Information
1. College of Physics and Electronics, Shandong Normal University, Jinan 250014, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Arrhythmias, Cardiac;
physiopathology;
Computer Simulation;
Electrocardiography;
methods;
Humans;
Signal Processing, Computer-Assisted;
Spectrum Analysis;
methods
- From:
Journal of Biomedical Engineering
2013;30(1):52-55
- CountryChina
- Language:Chinese
-
Abstract:
This paper introduces an algorithm for detecting T wave alternans (TWA) using Poincare mapping method, which is a technique for nonlinear dynamic systems to display periodic behavior. Vector angle index (VAI) was used to determine the presence or absence of TWA. Adopting MIT/BIH Arrhythmia database and European ECG ST-T database to simulate, we used VAI via poincare mapping method for correlation analysis with Vtwa by way of the spectral method. The cross-correlation coefficient between Vtwa and VAI is gamma = 0.860 1. The algorithm can identify the absence and presence of TWA accurately and provide idea for further study of TWA.
