DocumentCode
3151177
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
Volume
2
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
795
Lastpage
798
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6495-1
Type
conf
DOI
10.1109/BMEI.2010.5639945
Filename
5639945
Link To Document