一种有效的基于EEMD方法的动脉血压信号处理系统

Technical Papers of 2014 International Symposium on VLSI Design, Automation and Test Pub Date : 2014-04-28 DOI:10.1109/VLSI-DAT.2014.6834884

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

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引用次数: 1

摘要

本研究提出了一种有效的基于集成经验模态分解(EEMD)方法的动脉血压(ABP)信号处理系统。整个系统在基于arm的SoC开发平台上实现，实现了非平稳信号的在线处理。采用无创血压采集仪(NIBP100D)记录连续ABP作为输入信号。由于ABP的非平稳特性，EEMD有助于实现ABP光谱分析的精确分解。利用EEMD将信号分解为多个本征模态函数(IMFs)，并用快速傅里叶变换(FFT)对信号进行定量评价。结果表明，所提出的EEMD处理器能够有效解决经验模态分解(EMD)的模态混合问题和IMF5、IMF6、IMF7的FFT谱来揭示心率和呼吸。

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

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.

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

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