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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/6643

Title: Investigating properties of the cardiovascular system using innovative analysis algorithms based on ensemble empirical mode decomposition
Authors: Yeh, JR
Lin, TY
Chen, Y
Sun, WZ
Abbod, MF
Shieh, JS
Publication Date: 2012
Publisher: Hindawi Publishing Corporation
Citation: Computational and Mathematical Methods in Medicine, 2012: 943431, Aug2012
Abstract: Cardiovascular system is known to be nonlinear and nonstationary. Traditional linear assessments algorithms of arterial stiffness and systemic resistance of cardiac system accompany the problem of nonstationary or inconvenience in practical applications. In this pilot study, two new assessment methods were developed: the first is ensemble empirical mode decomposition based reflection index (EEMD-RI) while the second is based on the phase shift between ECG and BP on cardiac oscillation. Both methods utilise the EEMD algorithm which is suitable for nonlinear and nonstationary systems. These methods were used to investigate the properties of arterial stiffness and systemic resistance for a pig's cardiovascular system via ECG and blood pressure (BP). This experiment simulated a sequence of continuous changes of blood pressure arising from steady condition to high blood pressure by clamping the artery and an inverse by relaxing the artery. As a hypothesis, the arterial stiffness and systemic resistance should vary with the blood pressure due to clamping and relaxing the artery. The results show statistically significant correlations between BP, EEMD-based RI, and the phase shift between ECG and BP on cardiac oscillation. The two assessments results demonstrate the merits of the EEMD for signal analysis.
Description: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited - Copyright @ 2012 Jia-Rong Yeh et al.
Sponsorship: This work is supported by the National Science Council (NSC) of Taiwan (Grant number NSC 99-2221-E-155-046-MY3), Centre for Dynamical Biomarkers and Translational Medicine, National Central University, Taiwan which is sponsored by National Science Council (Grant number: NSC 100–2911-I-008-001) and the Chung-Shan Institute of Science & Technology in Taiwan (Grant numbers: CSIST-095-V101 and CSIST-095-V102).
URI: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3419430/?tool=pmcentrez
http://bura.brunel.ac.uk/handle/2438/6643
DOI: http://dx.doi.org/10.1155/2012/943431
ISSN: 1748-670X
Appears in Collections:Electronic and Computer Engineering
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Dept of Electronic and Computer Engineering Research Papers

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