生命科学仪器2023，Vol.21Issue(5)：65-70,6.DOI:10.11967/2023211013
一种基于人脸视频的远程血压估测方法
ARemote Blood Pressure Estimation Method based on Facial Video
穆继文 1唐晓英1
作者信息
- 1. 北京理工大学生命学院,北京 100081
- 折叠
摘要
Abstract
Objective:A regression model based on deep learning is proposed to estimate the blood pressure value from the facial video collected by the consumer camera on the self-built data set.Methods:After data filtering and preprocessing,the self-built face video data set is randomly divided into training set(111 cases),verification set(14 cases)and test set(14 cases)according to the ratio of 8∶1∶1∶1.In addition,green,red and blue channel data are used for the same experiment to compare the impact of channel selection on the task.Results:Under the 10-fold cross-validation condition,the mean absolute error and standard deviation of the proposed model on the test set reached systolic blood pressure(5.98±5.22 mmHg)and diastolic blood pressure(4.30±3.39 mmHg).The Pearson correlation coefficient is 0.70 and 0.64 respectively.The performance of green channel data in this task is significantly better than the other two channels.Conclusion:This paper proves to some extent the feasibility of u-sing deep learning to realize remote blood pressure estimation based on facial video.In addition,the green channel data may contain more information related to blood pressure.关键词
远程血压估测/人脸视频/深度学习/通道选择/回归模型Key words
Remote blood pressure estimation/Facial video/Deep learning/Channel selection/Regression model分类
医药卫生引用本文复制引用
穆继文,唐晓英..一种基于人脸视频的远程血压估测方法[J].生命科学仪器,2023,21(5):65-70,6.
