Study of analysis of the singularity of R-wave by using wavelet transform.
- Author:
Weidong WANG
1
;
Buqing WANG
;
Guangrong LIU
Author Information
1. Medical Engineering Support Center, Chinese PLA's General Hospital, Beijing 100853, China. wangwd301@126.com
- Publication Type:Journal Article
- MeSH:
Adult;
Aged;
Aged, 80 and over;
Algorithms;
Arrhythmias, Cardiac;
physiopathology;
Electrocardiography;
methods;
Humans;
Male;
Middle Aged;
Signal Processing, Computer-Assisted;
Wavelet Analysis;
Young Adult
- From:
Journal of Biomedical Engineering
2011;28(4):698-701
- CountryChina
- Language:Chinese
-
Abstract:
Singularity is a basic feature of biological signals. Based on the variations of wavelet transform modulus maxima in multi-scales, we studied the basic theorem for analyzing the singularity and proposed an algorithm for calculating lipschitz exponent. Then we applied the algorithm to calculate the singularity of R-wave in ECG. Our study found that the level of singularity of R-waves in ECG between the 10 arrhythm patients randomly chosen and the healthy persons was significantly different, with the level of singularity of R-wave of normal persons remarkably higher than that of arrhythmia patients.
