An effective arterial blood pressure signal processing system based on EEMD method

Author

Shang-Yi Chuang ; Jia-Ju Liao ; Chia-Ching Chou ; Chia-Chi Chang ; Wai-Chi Fang

Author_Institution

Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

fYear

2014

fDate

28-30 April 2014

Firstpage

1

Lastpage

4

Abstract

This study proposed an effective signal processing system based on Ensemble Empirical Mode Decomposition (EEMD) method for the analysis of arterial blood pressure (ABP). The whole system was implemented on an ARM-based SoC development platform to attain the on-line non-stationary signal processing. A non-invasive blood pressure acquisition device (NIBP100D) was used to record the continuous ABP as the input signal. According to the non-stationary characteristics of ABP, EEMD is useful to achieve accurate decomposition for ABP spectral analysis. The signal was decomposed into several Intrinsic Mode Functions (IMFs) by EEMD, and quantitatively assessed by fast Fourier transform (FFT). The results showed that the proposed EEMD processor can effectively solve the mode mixing problem of Empirical Mode Decomposition (EMD) and the FFT spectrum of IMF5, IMF6, and IMF7 to reveal heart rate and respiration.

Keywords

biomedical equipment; blood; blood pressure measurement; blood vessels; cardiovascular system; electrocardiography; fast Fourier transforms; field programmable gate arrays; medical signal processing; spectral analysis; ABP spectral analysis; ARM-based SoC development platform; EEMD method; EEMD processor; FFT; IMF5; IMF6; IMF7; arterial blood pressure analysis; effective arterial blood pressure signal processing system; electrocardiography; ensemble empirical mode decomposition; fast Fourier transform; heart rate; input signal; intrinsic mode functions; mode mixing problem; noninvasive blood pressure acquisition device NIBP100D; nonstationary characteristics; on-line nonstationary signal processing; respiration; signal decomposition; Biomedical monitoring; Data analysis; Empirical mode decomposition; IP networks; System-on-chip; White noise; FPGA; arterial blood pressure; continuous blood pressure; ensemble empirical mode decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

VLSI Design, Automation and Test (VLSI-DAT), 2014 International Symposium on

Conference_Location

Hsinchu

Type

conf

DOI

10.1109/VLSI-DAT.2014.6834884

Filename

6834884