DocumentCode :
2091134
Title :
Multiscale Multifractality Analysis of Human Healthy and Unhealthy Heartbeat Time Series
Author :
Yang, Xiaodong ; He, Aijun ; Ning, Xinbao
Author_Institution :
Institute for Biomedical Electronic Engineering, Department of Electronic Science & Engineering, Nanjing University, Nanjing 210093, China. E-mail: yxd129@163.com
fYear :
2007
fDate :
23-27 May 2007
Firstpage :
1590
Lastpage :
1593
Abstract :
Life is one of the most complex nonlinear systems 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, and tried to find some effective approaches to distinguish healthy people from the diseased through those individual discrepancies.
Keywords :
bioelectric phenomena; diseases; electrocardiography; fractals; medical signal processing; nonlinear dynamical systems; patient diagnosis; statistical analysis; time series; complex nonlinear dynamic property; dispersing degrees; electrical activity; human healthy heartbeat time series; multifractal singularity spectrum area; multiscale multifractality analysis; myocardial infarction; myocardial ischemia; scale factor; statistical mean values; synchronous 12-lead ECG signals; unhealthy heartbeat time series; Dispersion; Electrocardiography; Fractals; Heart beat; Humans; Ischemic pain; Myocardium; Nonlinear dynamical systems; Nonlinear systems; Time series analysis; Dispersing degree; ECG; Multifractal singularity spectrum area; Multiscale analysis; Statistical mean value;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1077-4
Electronic_ISBN :
978-1-4244-1078-1
Type :
conf
DOI :
10.1109/ICCME.2007.4382014
Filename :
4382014
Link To Document :
بازگشت