Wavelet modulus maxima of multifractality based analysis of the pathological ECG signals.
- Author:
Zhengfeng YU
1
;
Jun WANG
Author Information
1. Image Processing and Image Communications Key Lab., College of Telecommunications & Informnation Engineering, Nanjing Univ. of Posts & Telecomm., Nanjing 210003, China.
- Publication Type:Journal Article
- MeSH:
Atrial Premature Complexes;
diagnosis;
physiopathology;
Electrocardiography;
methods;
Humans;
Signal Processing, Computer-Assisted;
Ventricular Premature Complexes;
diagnosis;
physiopathology;
Wavelet Analysis
- From:
Journal of Biomedical Engineering
2011;28(5):907-910
- CountryChina
- Language:Chinese
-
Abstract:
In this paper, wavelet moudulus maxima based multifractal analysis was used to study the multifractal characteristics of the atrial premature beat (APB) signal, the premature ventricular contraction (PVC) signal and normal ECG signal. By analyzing the multifractal spectrum, it was obtained that three kinds of signals had different multifractal strengths. Normal ECG signals had the strongest singularity strength. The PVC beats had the second stronger singularity strength. And the APB beats had the weakest singularity strength. The T test indicated that above-mentioned analysis could disclose significant differences among these three signals. It has meaningful reference for clinical diagnosing and distinguishing with PVC and APB signals.
