Influence of heart and brain disease on multifractal singularity spectrum of synchronous 12-lead ECG signals.
- Author:
Yinlin XU
1
;
Xinbao NING
;
Jun WANG
Author Information
1. Institute for Biomedical Electronic Engineering, State Key Laboratory of Modern Acoustics and Department of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
- Publication Type:Journal Article
- MeSH:
Aged;
Brain Concussion;
physiopathology;
Coronary Disease;
physiopathology;
Electrocardiography;
methods;
Humans;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2005;22(4):677-680
- CountryChina
- Language:Chinese
-
Abstract:
We analyzed the multifractal singularity spectrum of synchronous 12-lead ECG (electrocardiogram) signals from heart and brain disease patients, and found that multifractal curves of different leads do not overlap each other. After calculating the scope of the singularity strength, we noticed that the averages of scope are not the same in different subjects,and the dispersing degree is also different in someone's different leads. Both the deltaalpha, the average of the deltaalpha, and the dispersing degree deltaalpha (be defined as standard deviation) of the deltaalpha of every one's 12-lead ECG were computed. Then, a comparison was made between the spectrum of the healthy subjects and the heart disease patients. The results showed that their deltaalpha are close, but their deltaalpha are markedly different. Also the healthy subjects and brain disease patients were compared, we found that their deltaalpha are close, but their deltaalpha are markedly different. These indicate that the character of multifractal spectrum is controlled by both the neurosystem of body and the self-syntonic property of cardiac structures. Furthermore, the deltaalpha is related with the neuroautonomic control of people's body on the ECG, and the deltaalpha is related with the anisotropy of the heterogeneous tissue and the electric signal propagation in heart.
