@inproceedings{543325c1e3084b2dad482b8e78c077aa,
title = "An effective arterial blood pressure signal processing system based on EEMD method",
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 = "Arterial blood pressure, Continuous blood pressure, Ensemble empirical mode decomposition, FPGA",
author = "Chuang, {Shang Yi} and Liao, {Jia Ju} and Chou, {Chia Ching} and Chang, {Chia Chi} and Wai-Chi Fang",
year = "2014",
month = jan,
day = "1",
doi = "10.1109/VLSI-DAT.2014.6834884",
language = "English",
isbn = "9781479927760",
series = "Technical Papers of 2014 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2014",
publisher = "IEEE Computer Society",
booktitle = "Technical Papers of 2014 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2014",
address = "United States",
note = "2014 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2014 ; Conference date: 28-04-2014 Through 30-04-2014",
}