Multiscale Multifractality Analysis of Human Healthy and Unhealthy Heartbeat Time Series
One of the very important movement estates of nonlinear system is chaos. It studies on the special rules of inherent randomicity that exist in the nonlinear course of nature.Life is the most complex nonlinear system and heart is the core of this lifecycle system. In this paper, multiscale analysis method was introduced to find the most effective parameters for expressing the complex nonlinear dynamic characteristics of heart electrical activities. After determining the appropriate scale factor, we investigated the multifractal singularity spectrum area of synchronous 12-lead ECG signals taken from different human subjects in abundant samples. The emphases were the crowds of myocardial ischemia sufferer, the myocardial infarction sufferer and the healthy young person. Then, we compared their statistical mean values and dispersing degrees respectively, trying to find some effective approaches to distinguish healthy people from the diseased through those individual discrepancies.
Nonlinearity Chaos Electronic Cardiogram (ECG) Multiscale analysis Multifractal singularity spectrum area Statistical mean value Dispersing degree
Xiaodong Yang Aijun He Xinbao Ning
Institute for Biomedical Electronic Engineering, Department of Electronic Science & Engineering, Nanjing University, Nanjing 210093,China
国际会议
北京
英文
1618-1621
2007-05-23(万方平台首次上网日期,不代表论文的发表时间)