標題: An Effective Arterial Blood Pressure Signal Processing System Based on EEMD Method
作者: Chuang, Shang-Yi
Liao, Jia-Ju
Chou, Chia-Ching
Chang, Chia-Chi
Fang, Wai-Chi
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: ensemble empirical mode decomposition;arterial blood pressure;FPGA;continuous blood pressure
公開日期: 1-Jan-2014
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.
URI: http://hdl.handle.net/11536/128470
ISBN: 978-1-4799-2776-0
ISSN: 
期刊: 2014 INTERNATIONAL SYMPOSIUM ON VLSI DESIGN, AUTOMATION AND TEST (VLSI-DAT)
Appears in Collections:Conferences Paper