Noncontact pulse wave detection by two-band infrared video-based measurement on face without visible lighting
Noncontact pulse wave detection by two-band infrared video-based measurement on face without visible lighting
复制标题
基于两波段红外视频的面部无可见光测量的非接触式脉搏波检测
DOI：
10.1007/s10015-018-0430-5
复制
发表时间：
2017
影响因子：
0.9
通讯作者：
and N. Tsumura
中科院分区：
文献类型：
--
作者：
R. Mitsuhashi;G. Okada;K. Kurita;K. Kagawa;S. Kawahito;C. Koopipat;and N. Tsumura
在本文中，我们提出了一种新的非接触式脉搏波监测方法，通过使用两个波段的红外视频信号是强大的照明波动。由于所提出的方法使用红外光进行照明，因此该方法可以用于在没有可见光的情况下检测人脸上的脉搏波。通过在对数空间中对两个像素值应用分离矩阵，可以将视频信号中相应的两个带像素值分离成血红蛋白和阴影分量。因为阴影分量已经被分离，所以所提取的血红蛋白分量对照明中的波动是鲁棒的。感兴趣区域中的像素值在每个帧的所有像素上进行空间平均。这些平均值然后用于形成原始跟踪信号。最后，通过几个信号处理阶段，包括去趋势、使用自适应带通滤波器和峰值检测，从原始跟踪信号中获得脉搏波和相应的脉搏率。我们评估了估计值和使用心电图获得的真实值之间的脉搏率的绝对误差率。在实验中，我们发现，所提出的方法的性能有很大的改善相比，传统的方法使用单波段红外视频。
In this paper, we propose a novel noncontact pulse wave monitoring method that is robust to fluctuations in illumination through use of two-band infrared video signals. Because the proposed method uses infrared light for illumination, the method can be used to detect a pulse wave on a human face without visible lighting. The corresponding two-band pixel values in the video signals can be separated into hemoglobin and shading components by application of a separation matrix in logarithmic space for the two pixel values. Because the shading component has been separated, the extracted hemoglobin component is then robust to fluctuations in the illumination. The pixel values in the region of interest were spatially averaged over all the pixels of each frame. These averaged values were then used to form the raw trace signal. Finally, the pulse wave and the corresponding pulse rate were obtained from the raw trace signal through several signal processing stages, including detrending, use of an adaptive bandpass filter, and peak detection. We evaluated the absolute error rate for the pulse rate between the estimated value and the ground truth obtained using an electrocardiogram. In the experiments, we found that the performance of the proposed method was greatly improved compared with that of conventional methods using single-band infrared video.