Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea.
Department of Family Medicine, Hanyang University, Seoul 04763, Korea.
Sensors (Basel). 2020 Mar 9;20(5):1493. doi: 10.3390/s20051493.
Photoplethysmography (PPG) is an easy and convenient method by which to measure heart rate (HR). However, PPG signals that optically measure volumetric changes in blood are not robust to motion artifacts. In this paper, we develop a PPG measuring system based on multi-channel sensors with multiple wavelengths and propose a motion artifact reduction algorithm using independent component analysis (ICA). We also propose a truncated singular value decomposition for 12-channel PPG signals, which contain direction and depth information measured using the developed multi-channel PPG measurement system. The performance of the proposed method is evaluated against the R-peaks of an electrocardiogram in terms of sensitivity (Se), positive predictive value (PPV), and failed detection rate (FDR). The experimental results show that Se, PPV, and FDR were 99%, 99.55%, and 0.45% for walking, 96.28%, 99.24%, and 0.77% for fast walking, and 82.49%, 99.83%, and 0.17% for running, respectively. The evaluation shows that the proposed method is effective in reducing errors in HR estimation from PPG signals with motion artifacts in intensive motion situations such as fast walking and running.
光电容积脉搏波描记法（PPG）是一种测量心率（HR）的简便方法。然而，通过光学测量血液容积变化的 PPG 信号对运动伪影不稳健。在本文中，我们开发了一种基于多通道传感器的 PPG 测量系统，该系统具有多个波长，并提出了一种使用独立成分分析（ICA）的运动伪影减少算法。我们还提出了一种针对包含使用开发的多通道 PPG 测量系统测量的方向和深度信息的 12 通道 PPG 信号的截断奇异值分解。使用心电图的 R 波峰值评估所提出方法的性能，以评估灵敏度（Se）、阳性预测值（PPV）和未检测到的错误率（FDR）。实验结果表明，在快走和跑步等剧烈运动情况下，对于步行、快走和跑步，分别为 99%、99.55%和 0.45%、96.28%、99.24%和 0.77%以及 82.49%、99.83%和 0.17%。评估结果表明，在快走和跑步等剧烈运动情况下，该方法可有效减少具有运动伪影的 PPG 信号中 HR 估计的误差。
