基于PPG睡眠分期的信号噪声处理方法研究  

Research on Signal Noise Processing Method Based on PPG Sleep Staging

作　　者：石胜源 何康 罗铁清 SHI Shengyuan;HE Kang;LUO Tieqing(School of Informatics,Hunan University of Chinese Medicine,Changsha 410208,China)

机构地区：[1]湖南中医药大学信息科学与工程学院,湖南长沙410208

出　　处：《软件导刊》2024年第4期67-73,共7页Software Guide

基　　金：湖南中医药大学研究生科研创新项目(2021CX55)。

摘　　要：在研究睡眠分期时,不少学者会使用光电容积脉搏波(PPG)信号作为研究对象,但在PPG采集过程中容易引入各种频率的噪声,影响后续睡眠分期特征的提取。为去除PPG信号噪声,提高生理参数特征计算的准确性,提出一种新的信号噪声处理方法。采用AMPD改良算法识别波峰波谷,通过三次样条插值进行基线拟合,完成基线漂移的去除;以软硬阈值结合的小波变换完成肌电噪声的去除;以偏度、峰度及均值等特征配合n-sigma法则完成运动伪差的检测,得以在睡眠特征提取过程中筛除噪声。验证试验证明,该方法在有效去除PPG信号噪声的同时保留了信号特性,确保了使用PPG进行睡眠分期特征的表征能力。When studying sleep staging,many scholars use the photocapacitive pulse wave(PPG)signal as the research object.However,various frequencies of noise are easily introduced during the PPG acquisition process,which affects the subsequent extraction of sleep staging features.A new signal noise processing method is proposed to remove PPG signal noise and improve the accuracy of physiological parameter feature calculation.It uses an improved AMPD algorithm to identify peaks and valleys,and performs baseline fitting through cubic spline inter-polation to remove baseline drift;Using wavelet transform combined with soft and hard thresholds to remove electromyographic noise;By com-bining features such as skewness,kurtosis,and mean with the n-sigma rule to detect motion artifacts,noise can be filtered out during sleep feature extraction.Verification experiments have shown that the proposed signal noise processing method effectively removes PPG signal noise while preserving signal characteristics,ensuring the representational ability of using PPG to study sleep staging features.

关 键 词：PPG信号 噪声处理 睡眠分期 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]