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
Link To Document :
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