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首页> 外文期刊>The Open Biomedical Engineering Journal >Research on Algorithm of Extracting PPG Signal for Detecting Atrial Fibrillation based on Probability Density Function
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Research on Algorithm of Extracting PPG Signal for Detecting Atrial Fibrillation based on Probability Density Function

机译:基于概率密度函数的PPG信号提取方法检测房颤的研究

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The paper introduced a new method based on probability density function (PDF) and phase space diagrammethod for photoplethysmography (PPG) signal extracting. In the paper, PPG information was generated from humanfingertips by smartphones. The pulse wave period was then separated and reconstructed into probability density function(PDF) by the phase space diagram algorithm. The difference between normal sinus rhythm (NSR) and atrial fibrillation(AF) was finally found by skewness of the PDF. The results of the present study demonstrates that the new method isvividly viable for detecting AF on the smartphone.
机译:介绍了一种基于概率密度函数(PDF)和相空间图法的光电容积描记术(PPG)信号提取新方法。在本文中,PPG信息是通过智能手机的人类指尖生成的。然后通过相空间图算法将脉搏波周期分离并重建为概率密度函数(PDF)。最终通过PDF的偏斜度发现了正常窦性心律(NSR)和房颤(AF)之间的差异。本研究的结果表明,该新方法在检测智能手机上的AF方面非常可行。

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