基于优化脉搏波特征的无袖带血压检测方法  

Cuffless blood pressure measurement method using optimized PPG characteristics

作　　者：张畅 陈辉[1] 郑秀娟 Zhang Chang;Chen Hui;Zheng Xiujuan(College of Electrical Engineering,Sichuan University,Chengdu 610065,China)

机构地区：[1]四川大学电气工程学院,成都610065

出　　处：《电子测量技术》2021年第24期1-7,共7页Electronic Measurement Technology

基　　金：成都市重点研发支撑计划技术创新研发项目(2020-YF05-00056-SN)资助。

摘　　要：脉搏波蕴含有丰富的心血管功能信息,可用于无袖带血压检测。但光电容积脉搏波(PPG)信号易受噪声干扰,而血压检测的准确性依赖于高质量的PPG信号特征。由此,提出了一种集成现代信号处理技术与脉搏波特征参数分析的方法提高基于脉搏波的无袖带血压检测的精确性。首先,联合使用集合经验模态分解与信号质量检测算法抑制噪声干扰,重构有效PPG信号,从而保证PPG信号的波形和频率特征的有效性。采用脉搏波特征参数与个体参数,建立BP神经网络血压检测模型,并通过平均影响法进行特征选取,减少冗余特征,最后利用遗传算法对神经网络进行优化,得到最优的血压估计模型。实验结果显示,所提出的血压检测方法获得的收缩压和舒张压预测误差≤10 mm Hg的百分比分别为93.1%和94.83%,其预测结果满足血压测量标准,可以有效实现无袖带血压检测。Photoplethysmography(PPG)signal,which contain abundant information related to blood pressure,can be used for cuffless blood pressure measurement.However,PPG signal is easily disturbed by noise,and the accuracy of blood pressure measurement depends on high quality characteristics of the PPG signal.Therefore,we propose a method integrating modern signal processing and pulse wave characteristic parameters analysis to improve the accuracy of cuffless blood pressure measurement based on PPG signal.Firstly,the effective PPG signal is reconstructed by combining ensemble empirical mode decomposition and signal quality detection algorithm to suppress noise interference,so as to ensure the validity of waveform and frequency characteristics of PPG signal.Combined these PPG characteristics and individual parameters,the BP neural network blood pressure measurement model is established.The method,called mean impact value,is used to select the parameters to reduce redundancy,then the genetic algorithm is used to optimize the neural network.Finally,we establish the final blood pressure measurement model.The experimental results show that the systolic and diastolic blood pressure measurement errors≤10 mm Hg are 93.1%and 94.83%,respectively,by using the proposed method.The results meet the blood pressure measurement standards and can effectively realize the cuffless blood pressure measurement.

关 键 词：血压 脉搏波 特征参数 集合经验模态分解 信号质量检测 遗传算法 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] R318[自动化与计算机技术—控制科学与工程]