基于深度学习算法的血压软测量技术  

Soft Measurement of Blood Pressure Based on Deep Learning Algorithm

作　　者：高乔枫 张帅 秦璐璐 宋勇 商建康 张念猛 GAO Qiaofeng;ZHANG Shuai;QIN Lulu;SONG Yong;SHANG Jiankang;ZHANG Nianmeng

机构地区：[1]山东省计量科学研究院

出　　处：《计量与测试技术》2025年第3期141-145,共5页Metrology & Measurement Technique

基　　金：山东省计量研究院科技项目资助(项目名称:数字压力计智能检测系统研究,项目编号:sdimkj202306)。

摘　　要：无创血压测量法需佩戴臂带,只能测量某一时刻的血压,且无法连续监测。为实现对人体血压的间接测量,本文提出一种血压软测量技术,通过采集人体连续脉搏波信号,利用深度学习算法建立脉搏波与血压之间的关系。结果表明:该方法能准确预测血压波形,且结果符合BHS标准中的A级;脉搏波信号通过运动腕带和指夹式血氧仪进行采集,可实现实时、便捷的血压测量。Non-invasive blood pressure measurement requires wearing an armband,can only measure blood pressure at a certain time,and cannot be continuously monitored.In order to realize the indirect measurement of human blood pressure,this paper presents a soft measurement technology of blood pressure.By collecting continuous pulse wave signal of human body,deep learning algorithm is used to establish the relationship between pulse wave and blood pressure.The results show that the method can accurately predict the blood pressure waveform,and the results meet the A level of BHS standard.The pulse wave signal is collected by the exercise wristband and finger clip oximeter,which can realize real-time and convenient blood pressure measurement.

关 键 词：血压 软测量技术 深度学习算法 脉搏波信号 

分 类 号：R54[医药卫生—心血管疾病]