摘要
心率作为一项重要的生理特征信息,在医疗诊断方面有着不可替代的作用。非接触式心率检测无须与测试者直接接触即可测量出心率,避免了传统心率测量时测试者长时间接触仪器造成的不适,且成本更低,便携性更好。文章提出一种结合ICA和小波变换的算法,对摄像头输入的人脸视频依次进行颜色空间转换、降噪、时频域变换等操作,并搭建了一个基于人脸视频的心率测算系统,针对不同指标设计了多个实验。实验结果表明,系统能够快速实时检测人体心率数据,实现非接触式心率检测,满足心率检测需求。
As an important physiological characteristic information,the heart rate plays an irreplaceable role in medical diagnosis.Non-contact heart rate detection can measure heart rate without direct contact with the tester,avoiding discomfort of tester caused by prolonged contact with the instrument during traditional heart rate measurement,and has lower cost and better portability.This paper proposes an algorithm that combines ICA and wavelet transform to sequentially perform color space conversion,noise reduction,time-frequency domain transformation,and other operations on the facial video input from the camera.The heart rate measurement system based on facial video is built,and multiple experiments are designed for different indicators.The experimental results show that the system can quickly and real-time detect human heart rate data,achieve noncontact heart rate detection,and meet the needs of heart rate detection.
作者
陈聪聪
刘昱竹
王海同
缑奕轩
郁翛然
CHEN Congcong;LIU Yuzhu;WANG Haitong;GOU Yixuan;YU Xiaoran(School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China)
出处
《现代信息科技》
2024年第4期30-35,共6页
Modern Information Technology
关键词
远程光电容积描记法
心率测量
图像处理
小波变换
remote photocapacitance plethysmography
heart rate measurement
image processing
wavelet transform
