DocumentCode
3439195
Title
Predicting arterial stiffness with the aid of ensemble empirical mode decomposition(EEMD) algorithm
Author
Wu, Hsien-Tsai ; Lee, Chun-Ho ; Chen, Chun-Erh ; Liu, An-Bang
Author_Institution
Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan
fYear
2010
fDate
25-27 June 2010
Firstpage
179
Lastpage
182
Abstract
In this study, we propose an easy-to-use non-invasive arterial stiffness assessment instrument that can be used to record the radial arterial pressure signals from the wrist. The system combines the ensemble empirical mode decomposition (EEMD) algorithm with the signals to derive a modified reflection index (MRI). The performance of MRI was verified based on 42 subjects (33 men and 9 women, 20 to 27 years of age). Early self-monitoring of cardiovascular dysfunction and arterial stiffness can be easily and effectively achieved by MRI because only few minutes are needed for conducting at home.
Keywords
biomechanics; biomedical MRI; blood vessels; elasticity; medical signal processing; EEMD algorithm; biomedical MRI; cardiovascular dysfunction; early self-monitoring; ensemble empirical mode decomposition; modified reflection index; noninvasive arterial stiffness assessment; radial arterial pressure signals; Acoustic reflection; Blood pressure; Cardiology; Hospitals; Instruments; Magnetic resonance imaging; Nervous system; Noise measurement; White noise; Wrist; Arterial stiffness; Ensemble empirical mode decomposition; Reflection index;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Information Security (WCNIS), 2010 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5850-9
Type
conf
DOI
10.1109/WCINS.2010.5541915
Filename
5541915
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