Title :
Characteristic parameters of multifractal singularity spectrum of synchronous 12-lead ECG signals
Author :
Xu, Yinlin ; Wang, Jun ; Ning, Xinbao
Author_Institution :
Sch. of Phys. Sci. & Technol., Nanjing Normal Univ., Nanjing, China
Abstract :
After analysing f(α), the multifractal singularity spectrum of the synchronous 12-lead ECG signals (MSSSE), the authors find that the Δα(the range of singularity strength α) of MSSSE is dispersed. In order to quantitatively analyze curves of multifractal spectrum derived from 12-lead ECG signals, we compute both the Δα̅(the mean of Δαs for 12-lead ECG) and the dispersing degree δΔα(defined as standard deviation of Δαs for 12-lead ECG signals) as characteristic parameters. With comparison of these characteristic parameters between the people with good health and heart disease, we find that the Δα̅s are close to each other, but the δΔαs are different. We also compare these characteristic parameters between the people with good health and brain disease, and find a dissimilar result, i.e. the Δα̅s are different from each other while the δΔαs are close. It implies that the characteristic parameters of multifractal spectrum are controlled by both the body´s neurosystem and self-syntonic property of cardiac structures. Furthermore, the Δα̅ is related with neuroautonomic control on the ECG, and the δΔα is related with the spatial anisotropic propagation of the ECG signal in the myocardium.
Keywords :
brain; cardiology; diseases; electrocardiography; medical image processing; neurophysiology; body neurosystem; brain disease; cardiac structures; good health; heart disease; multifractal singularity spectrum; myocardium; neuroautonomic control; self-syntonic property; singularity strength; spatial anisotropic propagation; standard deviation; synchronous 12-lead ECG signals; Diseases; Electrocardiography; Fractals; Heart beat; Myocardium; Time series analysis; Characteristic Parameters; Multifractal singularity spectrum; Synchronous 12-lead ECG signals;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639945