基于视频流的非接触式连续血压检测算法研究  

A non-contact continuous blood pressure measurement method based on video stream

作　　者：闫昊 李霞 朱田杨 陈修强 龚宁 周秦武[1] YAN Hao;LI Xia;ZHU Tianyang;CHEN Xiuqiang;GONG Ning;ZHOU Qinwu(School of Life Science and Technology,Xi'an Jiaotong University,Xi'an 710049,P.R.China)

机构地区：[1]西安交通大学生命科学与技术学院,西安710049

出　　处：《生物医学工程学杂志》2023年第2期249-256,共8页Journal of Biomedical Engineering

基　　金：陕西省重点研发计划项目(2018SF-098)。

摘　　要：高血压是危害人类健康的首要疾病,方便准确的血压测量方法将有助于高血压的防控。本文提出了一种基于面部视频信号的连续血压测量方法。采用颜色失真滤波与独立成分分析法提取面部视频信号中感兴趣区域的视频脉搏波,基于时频域以及生理学原理对脉搏波进行多维特征提取;设计了一种集成特征选择方法提取具有通用性的最优特征子集;比较基于粒子群优化的Elman神经网络、支持向量机与深度信念网络所建立的单人血压测量模型;采用支持向量回归算法构建通用血压预测模型,并与真实血压值进行比较与评价。实验结果表明:基于面部视频的血压测量结果与标准血压值具有较好的一致性,由视频估计出的收缩压与标准收缩压的平均绝对误差(MAE)为4.9 mm Hg,标准差(STD)为5.9 mm Hg;舒张压的MAE为4.6 mm Hg,STD为5.0 mm Hg,符合AAMI标准。本文所提出的基于视频流的非接触式血压检测方法可以用于血压的测量。Hypertension is the primary disease that endangers human health.A convenient and accurate blood pressure measurement method can help to prevent the hypertension.This paper proposed a continuous blood pressure measurement method based on facial video signal.Firstly,color distortion filtering and independent component analysis were used to extract the video pulse wave of the region of interest in the facial video signal,and the multi-dimensional feature extraction of the pulse wave was preformed based on the time-frequency domain and physiological principles;Secondly,an integrated feature selection method was designed to extract the universal optimal feature subset;After that,we compared the single person blood pressure measurement models established by Elman neural network based on particle swarm optimization,support vector machine(SVM)and deep belief network;Finally,we used SVM algorithm to build a general blood pressure prediction model,which was compared and evaluated with the real blood pressure value.The experimental results showed that the blood pressure measurement results based on facial video were in good agreement with the standard blood pressure values.Comparing the estimated blood pressure from the video with standard blood pressure value,the mean absolute error(MAE)of systolic blood pressure was 4.9 mm Hg with a standard deviation(STD)of 5.9 mm Hg,and the MAE of diastolic blood pressure was 4.6 mm Hg with a STD of 5.0 mm Hg,which met the AAMI standards.The non-contact blood pressure measurement method based on video stream proposed in this paper can be used for blood pressure measurement.

关 键 词：连续血压测量 独立成分分析 特征筛选 机器学习 支持向量机 

分 类 号：TN911.7[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程] R318[自动化与计算机技术—计算机应用技术]