基于脉搏波的无创连续血压预测研究进展

Research progress in non-invasive continuous blood pressure prediction based on pulse wave

血压是人体重要的生理指标,近年来,无创、无袖带、连续血压监测设备的需求日益增加。基于脉搏波的特征参数建立合适的模型,通过测量脉搏的一系列特征如动脉脉搏波的脉冲传递时间,可以用来连续估计动脉血压。本文首先介绍基于脉搏波的特征参数测量血压的原理,并总结归纳相关测量模型,如线性回归模型、非线性回归模型、神经网络模型,对其研究结果进行概括总结,并对脉搏波技术在心血管疾病中的应用的研究现状予以介绍,最后分析其未来发展趋势。

Blood pressure is an important physiological index of the human body,in recent years,there has been an increasing demand for non-invasive,cuffless,and continuous blood pressure monitoring devices.A suitable model based on the characteristic parameters of pulse wave can be used to continuously estimate arterial blood pressure by measuring a series of characteristics of pulse such as pulse transmission time of arterial pulse wave.This paper first introduces the principle of blood pressure measurement based on the characteristic parameters of pulse wave,and summarizes the relevant measurement models,such as linear regression model,non-linear regression model,and neural network model,summarizes the research results,introduces the research status of the application of pulse wave technology in cardiovascular diseases,and finally analyzes its future development trend.