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

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

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題Technical Papers of 2014 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2014
發行者IEEE Computer Society
ISBN(列印)9781479927760
DOIs
出版狀態Published - 1 1月 2014
事件2014 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2014 - Hsinchu, Taiwan
持續時間: 28 4月 201430 4月 2014

出版系列

名字Technical Papers of 2014 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2014

Conference

Conference2014 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2014
國家/地區Taiwan
城市Hsinchu
期間28/04/1430/04/14

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