基于NLMS-RIME-VMD的运动状态下RR间期提取方法研究  

Research on RR Interval Extraction Method During Exercise Based on NLMS-RIME-VMD

作　　者：何康 吴寒 石胜源 罗铁清 HE Kang;WU Han;SHI Shengyuan;LUO Tieqing(School of Informatics,Hunan University of Chinese Medicine,Changsha 410208,China;Medical Psychological Center,The Second Xiangya Hospital,Central South University,Changsha 410011,China;Shanghai Yong En Medical Equipment Co.,Shanghai 201706,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 [2]中南大学湘雅二医院医学心理中心,湖南长沙410011 [3]上海雍恩医疗器械有限公司,上海201706

出　　处：《软件导刊》2025年第4期93-100,共8页Software Guide

基　　金：中南大学研究生校企联合创新项目(2023XQLH051)。

摘　　要：光电容积脉搏波(PPG)技术易受到运动伪差干扰。为了获取更加准确的RR间期,提取心率变异性,提出一种结合自适应滤波器和变分模态分解的运动状态下PPG信号去噪方法。首先,利用加速度信号作为NLMS自适应滤波的参考信号,以滤除运动伪差。其次,通过霜冰算法(RIME)确定变分模态分解(VMD)的最佳参数[k,α]。最后,将PPG信号分解成一系列固有模态分量(IMF),并根据分量的相关系数进行信号重构,以去除高频噪声和基线漂移。实验结果显示,在4种不同运动状态下,降噪后的PPG信号提取出的PP间期与基于心电信号(ECG)的标准RR间期相比,平均绝对误差均值为0.034 s,平均相对误差均值百分比为4.95%。表明该方法能够在运动状态下提取出较为准确RR间期,有利于在日常环境中进行连续的健康监测。The photoplethysmography(PPG)technology is susceptible to motion artifact interference.In order to obtain more accurate RR in‐tervals and extract heart rate variability,a motion state PPG signal denoising method combining adaptive filters and variational mode decompo‐sition is proposed.This method first uses the acceleration signal as the reference signal for NLMS adaptive filtering to filter out motion artifacts.Secondly,the optimal parameters[k,α]for Variational Mode Decomposition(VMD)are determined using the Frost Ice Algorithm(RIME).Finally,the PPG signal is decomposed into a series of intrinsic mode components(IMF),and signal reconstruction is performed based on the correlation coefficients of the components to remove high-frequency noise and baseline drift.The experimental results showed that under four different motion states,the average absolute error mean of the PP interval extracted from the denoised PPG signal compared to the standard RR interval based on electrocardiogram(ECG)signal was 0.034 s,and the average relative error mean percentage was 4.95%.This indicates that the method can extract relatively accurate RR intervals during exercise,which is beneficial for continuous health monitoring in daily environ‐ments.

关 键 词：PPG信号 自适应滤波 变分模态分解 运动伪差 心率变异性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]