基于心电与脉搏波的血压检测算法的改进  

Improvement of Blood Pressure Measurement Based on ECG and PPG

作　　者：徐久强[1] 蔺弘济 李晗[1] 赵海[1] 

机构地区：[1]东北大学信息科学与工程学院,辽宁沈阳110819

出　　处：《东北大学学报（自然科学版）》2014年第1期33-37,共5页Journal of Northeastern University(Natural Science)

基　　金：辽宁省教育厅科学技术研究项目(L2010182);中央高校基本科研业务费专项资金资助项目(N100304002)

摘　　要：针对基于心电和脉搏波的无创连续血压检测方法中特征点提取算法的计算量大的问题,提出了一种改进的提取特征点的差分算法,改进后算法的效率和特征点检测的精准度都得到了很大的提高.通过对采样数据进行相关性分析和回归分析,可以看到脉搏波传播时间与收缩压有强相关性,而与舒张压成中度相关.实验结果表明,利用改进后的特征点提取算法能够较准确地计算出脉搏波传播时间,进而计算出个体的收缩压,并且能够很好地满足AAMI国际标准对无创血压检测误差的要求.According to feature point detection algorithm with large computation of blood pressure measurement based on ECG and PPG, a feature point detection algorithm was proposed based on an improved difference method. The efficiency of the improved algorithm and the accuracy of the feature point detection had been largely improved. Through correlation analysis and regression analysis of the sampling data, the SBP （ systolic blood pressure） had a strong correlation with PWTT （pulse wave transmit time）, but DBP（ diastolic blood pressure） had a moderate correlation with PWTT. The experimental results indicated that using the improved algorithm, the PWTT could be calculated accurately, and then the SBP could be obtained. Also the deviation requirement could be met to noninvasive blood pressure measurement of AAMI.

关 键 词：心电 脉搏波 血压 特征点检测 相关性分析 回归分析 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]