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Spectral analysis of photoplethysmography based on EEMD method

机译:基于EEMD方法的光电容积描记术的光谱分析

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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:本文采用基于Hilbert-Huang变换(HHT)的算法对光电容积描记(PPG)信号进行分析。实际上,PPG是非线性的非平稳信号,适用于HHT方法以实现精确分解的能力。使用集成经验模式分解(EEMD)算法将时间序列数据分解为固有模式函数(IMF)。这项研究提出了一种新的基于EEMD方法的瞬时脉率变异性(iPRV)测量,以分析包含心律成分的IMF5的甚高频段(0.4-0.9Hz)。

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