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Spectral analysis of photoplethysmography based on EEMD method

机译:基于EEMD方法的光学质肌谱谱分析

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In this paper, the proposed algorithm based on Hilbert-Huang Transform (HHT) is used to analyze the photoplethysmography (PPG) signal. In fact, PPG is nonlinear and nonstationary signal which is suitable for HHT method to achieve the capability of precise decomposition. The time series data are decomposed into Intrinsic Mode Function (IMF) with Ensemble Empirical Mode Decomposition (EEMD) algorithm. This study proposed a novel instantaneous pulse rate variability (iPRV) measurement based on EEMD method to analyze the very high frequency band (0.4-0.9Hz) of IMF5 which contains heart rhythm component.
机译:本文采用了基于Hilbert-Huang变换(HHT)的所提出的算法来分析光学质血压模型(PPG)信号。实际上,PPG是非线性和非间断的信号,适用于HHT方法来实现精确分解的能力。时间序列数据与集合经验模式分解(EEMD)算法分解为内在模式(IMF)。本研究提出了一种基于EEMD方法的新型瞬时脉冲率变异性(IPRV)测量,用于分析含有心律部件的IMF5的非常高频带(0.4-0.9Hz)。

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