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A Review on Computation Methods Used in Photoplethysmography Signal Analysis for Heart Rate Estimation
Archives of Computational Methods in Engineering ( IF 9.7 ) Pub Date : 2021-05-10 , DOI: 10.1007/s11831-021-09597-4
Pankaj , Ashish Kumar , Rama Komaragiri , Manjeet Kumar

Photoplethysmography (PPG) sensor-enabled wearable health monitoring devices can monitor realtime health status. PPG technology is a low-cost, noninvasive optical method used to measure a volumetric change in blood during a cardiac cycle. Continues analysis of change in light signal due to change in the blood helps medical professionals to extract valuable information regarding the cardiovascular system. Traditionally, an electrocardiogram (ECG) has been used as a dominant monitoring technique to detect irregularities in the cardiovascular system. However, in ECG for monitoring cardiac status, several electrodes have to be placed at different body locations, limiting its uses under medical assistantship and in a stationary position. Therefore, to fulfill the market demand for wearable and portable health monitoring devices, researchers are now showing interest in the PPG sensor enable wearable devices. However, the robustness of PPG sensor-enabled wearable devices is highly deviating due to motion artifacts. Therefore before extracting vital sign information like heart rate with PPG sensor, efficient removal of motion artifact is very important. This review orients the research survey on the principles and methods proposed for denoising and heart rate peak detection with PPG. The efficacy of each method related to heart rate peak detection with PPG technologies was compared in terms of mean absolute error, error percentage, and correlation coefficient. A comparative analysis is formulated to estimate heart rate based on the literature survey from the last ten years on PPG technology. This review article aims to explore different methods and challenges mentioned in state-of-the-art research related to motion artifacts removal and heart rate estimation from PPG-enabled wearable devices.



中文翻译:

光体积描记法信号分析中用于心率估计的计算方法综述

启用了光电容积描记(PPG)传感器的可穿戴健康监控设备可以监控实时健康状况。PPG技术是一种低成本的无创光学方法,用于测量心动周期期间血液的体积变化。继续分析由于血液变化引起的光信号变化,有助于医疗专业人员提取有关心血管系统的有价值的信息。传统上,心电图(ECG)已被用作检测心血管系统异常的主要监测技术。然而,在用于监测心脏状态的ECG中,必须将多个电极放置在不同的身体位置,从而限制了其在医学协助下和固定位置的使用。因此,为了满足市场对可穿戴和便携式健康监测设备的需求,研究人员现在对PPG传感器启用可穿戴设备表现出兴趣。但是,由于运动伪影,启用PPG传感器的可穿戴设备的耐用性大大偏离。因此,在使用PPG传感器提取诸如心率之类的生命体征信息之前,有效去除运动伪影非常重要。这篇综述主要针对PPG去噪和心率峰值检测的原理和方法进行了研究调查。根据平均绝对误差,误差百分比和相关系数,比较了与使用PPG技术检测心率峰值相关的每种方法的功效。根据过去十年中有关PPG技术的文献调查,制定了一个比较分析来估算心率。

更新日期:2021-05-11
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