运用视觉和主成分分析的非接触式心率测量

Noncontact Pulse Rate Measurements Using Vision and PCA

图像光电容积脉搏波描记法(PPGi)是一种利用视觉采集并分析人体皮肤由于充放血所引起的颜色变化来测量心率的方法。与传统的使用电极的方法相比较,这种方式能够提供更舒适的生理信息提取,在一些非医疗场景的健康监测和人机交互场景中是非常重要的。一种运用自动人脸追踪和主成分分析RGB三色通道来提取脉搏信号的方法被提出,分别对10名实验者进行视频拍摄,并在日光、灯光和日光与灯光同时存在的3种情况下实验,在视频拍摄人脸的同时用一个多导睡眠仪(用来测心电图)作对比。实验结果表明:该算法在准确提取出脉搏心率的同时,能够大幅降低运算时间。

Photo Plethysmo Graph image(PPGi)is a method of using vision to collect and analyze the color changes of human skin caused by blood charging.Compared with traditional methods of using electrodes,this non-contact method can provide more comfortable physiological information extraction,and is very important in health monitoring and human-computer interaction scenarios of some non-clinical scenes.A method of extracting pulse signals based on automatic face tracking and principal component analysis RGB color channel was proposed.Video was taken on 10 subjects,and the experiment was carried out in three situations:daylight,light and the presence of daylight and light at the same time.The 10 subjects were recorded by a smart phone camera and acquiring the ECG signal by a PSG simultaneously for comparison.The experimental results show that the algorithm can not only extract the pulse rate accurately,but also reduce the computation time.