A Photoplethysmograph Signal Preprocess Method Based on Wavelet Transform

机译：基于小波变换的光电觉谱位信号预处理方法

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摘要

In this paper, a soft threshold method based on a wavelet transform, and a decomposition reconstruction method, are proposed to preprocess photoplethysmograph (PPG) signals. First, the soft threshold method is applied to remove the high-frequency noise. The wavelet decomposition and reconstruction method are then used to adjust the baseline drift in the PPG signals. The aim is to obtain a higher signal-to-noise ratio and smoother PPG signals. Finally, the validity of the proposed signal preprocessing method is verified using the general indicators of RMSE, the smoothness, and the starting point variance.

机译：本文提出了一种基于小波变换的软阈值方法，以及分解重建方法，以及预处理的光电电脑图（PPG）信号。首先，应用软阈值方法来消除高频噪声。然后使用小波分解和重建方法来调整PPG信号中的基线漂移。目的是获得更高的信噪比和光滑的PPG信号。最后，使用RMSE的一般指标，平滑度和起始点方差来验证所提出的信号预处理方法的有效性。

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《Youth Academic Annual Conference of Chinese Association of Automation》|2021年|771-775|共5页
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Shiliang Shao; Ting Wang; Lebing Wang; Sinan Li; Chen Yao;
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Wavelet transforms; Automation; Interference; Reconstruction algorithms; Signal to noise ratio;

机译：小波变换;自动化;干扰;重建算法;信噪比;

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A Photoplethysmograph Signal Preprocess Method Based on Wavelet Transform

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