Title :
Nonlinear dynamic characteristics analysis of synchronous 12-lead ECG signals
Author :
Wang, Zhenzhou ; Ning, Xinbao ; Zhang, Yu ; Du, Gonghuan
Author_Institution :
Dept. of Electron. Sci. & Eng., Nanjing Univ., China
Abstract :
The authors computed the correlation dimensions of the synchronous 12-lead ECG of 30 healthy persons and 30 coronary heart disease (CHD) patients. They found that the D 2 of the same person is different for different lead ECG signals. Therefore, it is not appropriate to describe the human heart, a nonlinear dynamic system with complex structures, by only a single fractal dimension. Synchronous 12-lead analysis of correlation dimension can present a more detailed description of the heart´s dynamic characteristics than can a simple one-lead analysis. It is important to specify the particular lead position when one refers to the D 2´s of the ECG signal. The authors also find that the differences among D 2´s of 12-lead ECG signals are relatively small for healthy people, compared with the same lead for CHD patients. For CHD patients, the situation is complicated. The differences among D 2´s for 12-lead ECG signals of some patients are large. Correlation dimensions of chest-lead ECG signals are obviously smaller than those of limb-lead ECG signals. This suggests that the complexity of the ECG attractor is reduced with cardiac muscle ischemia, It may be that D 2´s of synchronous 12-lead ECG signals may be able to provide valuable diagnostic information about the location of ischemia or infarction. The authors´ research shows that the correlation dimension is a valuable parameter in analyzing nonlinear dynamic characteristics of the ECG signal and may provide new insights and methods in diagnosis of cardiac disease.
Keywords :
diseases; electrocardiography; fractals; medical signal processing; ECG attractor complexity; chest-lead ECG signals; complex structures; coronary heart disease patients; correlation dimensions; electrodiagnostics; limb-lead ECG signals; nonlinear dynamic characteristics analysis; simple one-lead analysis; single fractal dimension; synchronous 12-lead ECG signals; Cardiac disease; Chaos; Chromium; Delay effects; Electrocardiography; Fractals; Functional analysis; Integral equations; Nonlinear systems; Signal analysis; Aged; Coronary Disease; Electrocardiography; Female; Heart; Humans; Male; Nonlinear Dynamics;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE