Multiscale Multifractal Analysis of 12-lead ECG Signals of Mice based on Wavelet Transform and Coarse-grained Approach

摘要：

In recent years, the nonlinear analysis of electrocardiogram (ECG) signals using multifractal theory has been proved to be effective. In order to further study the features in normal and pathological ECG signals with multifractal analysis, drugs experiments were conducted on mice. Mice received various drugs to imitate different physiological and pathological conditions, and the distributions of the singularity strength range with different scale factors from the 12-lead ECG signals of healthy and drug injected mice were calculated, using coarsegrained approach and wavelet transform respectively. The results showed that there is a certain range of characteristic frequency in the curve of singularity strength range versus scale factors from the multiscale multifractal analysis results on mice ECG signals. In this range, the singularity strength range Aa gets the maximum value, which can best represent the complex fractal structures and dynamic characteristics of the heart, and be most sensitive to distinguish various physiological and pathological states.

关键词： nonlinear ECG multifractal multiscale characteristic frequency

作者: Chengyu Huo Xiaofei Ma Xiaolin Huang Xinbao Ning Jun Wang Xiaojun Qiu

作者单位: Key Laboratory of Modern Acoustics, Institute for Biomedical Electronic Engineering, School of Elect Key Laboratory of Modern Acoustics, Institute for Biomedical Electronic Engineering, School of Elect

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 2789-2792

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）