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Finger and ear photoplethysmogram waveform analysis by fitting with Gaussians.

机译:通过与高斯拟合来分析手指和耳朵的光电容积描记波形。

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Analysis of the contour of the blood volume pulse (VP) has become important because it contains much information about cardiovascular activity. Traditionally, pulse contour analysis requires first or higher derivatives to be calculated. This paper describes a novel algorithm for analysing simultaneously measured ear and finger photoplethysmography (PPG) signals. The algorithm separates the systolic wave and the diastolic wave of the VP and fits each of them with the sum of two Gaussian functions. The VP was obtained from PPG signals taken from 40 healthy subjects at each heartbeat cycle. From the evaluated VP, time values of the direct wave and three reflected waves were calculated, as well as the augmentation index (AI) and the reflection index (RI). The evaluated parameters were compared with those that were obtained by the derivative method, and it was demonstrated that the new method can be used to analyze VP waveforms.
机译:血容量脉冲(VP)轮廓分析非常重要,因为它包含有关心血管活动的大量信息。传统上,脉冲轮廓分析需要计算一阶或更高阶导数。本文介绍了一种用于分析同时测量的耳朵和手指光电容积描记(PPG)信号的新颖算法。该算法将VP的收缩波和舒张波分开,并用两个高斯函数之和拟合它们。 VP是从每个心跳周期的40位健康受试者的PPG信号中获得的。根据评估的VP,计算直接波和三个反射波的时间值,以及增强指数(AI)和反射指数(RI)。将评估的参数与通过导数法获得的参数进行比较,证明了该新方法可用于分析VP波形。

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