Abstract：To discover a non-contact system of measuring heart rate by taking a video using a webcam, the signal containing heartbeat information is extracted from face image sequences based on photoplethysmography principle is proposed. Blood volume pulse is acquired by wavelet filtering and an improved time interval algorithm is utilized to calculate the heart rate. Experiment results indicated that when heart rate measured by the pulse oximeter is referred, the 95% confidence interval of this measurement system is ［-2.2139, 2.1539］, the accuracy of the system is high which meets the requirement of pharmaceuticals industry standard and it is possible to improve the accuracy by adjusting relevant parameters like light intensity, webcam's hardware configuration, etc.
刘祎,欧阳健飞. 基于普通摄像头的心率测量系统设计[J]. 计量学报, 2016, 37(2): 219-224.
LIU Yi,OUYANG Jian-fei. A Heart Rate Measuring System Based on the Webcam. Acta Metrologica Sinica, 2016, 37(2): 219-224.
［2］Cook S, Togni M, Schaub M C, et al. High heart rate: a
cardiovascular risk factor? ［J］. European heart journal, 2006, 27(20): 2387-2393.
［3］Allen J. Photoplethysmography and its application in clinical physiological measurement ［J］. Physiological measurement, 2007, 28(3): 1-39.
［4］Wu H Y, Rubinstein M, Shih E, et al. Eulerian video magnification for revealing subtle changes in the world［J］. ACM Transactions on Graphics, 2012, 31(4): 13-15.
［5］Poh M Z, McDuff D J, Picard R W . Advancements in noncontact, multiparameter physiological measurements using a webcam［J］. Biomedical Engineering IEEE Transactions on, 2011, 58(1): 7-11.
［6］叶延亮. Adaboost 算法在人脸检测中的应用［J］. 北华大学学报:自然科学版, 2007, 8(5): 451-453.
［7］魏喆. 基于 AdaBoost 的人脸检测［D］. 北京:北京邮电大学, 2012.
［8］Zarit B D, Super B J, Quek F K H. Comparison of five color models in skin pixel classification［C］// IEEE Iccv Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, Greece, Corfu, 1999.
［9］Mahmoud T M. A New Fast Skin Color Detection Technique ［J］. Proceedings of World Academy of Science: Engineering & Technology, 2008, 43:501-505.
［10］贺钦, 刘文予. 数字图像传感器颜色插值算法研究［J］. 小型微型计算机系统, 2007, 28(8): 1482-1485.
［11］Leonard P, Beattie T F, Addison P S, et al. Standard pulse oximeters can be used to monitor respiratory rate ［J］. Emergency medicine journal, 2003, 20(6): 524-525.
［12］孙勇,景博,覃征,等. 基于小波分析的信噪分离方法研究［J］. 计量学报,2006,27(2):153-156.
［13］赵松年,熊小芸.子波变换与子波分析［M］.北京:电子工业出版社,1996.
［14］马俊领,王成,李章俊,等.基于PPG的心率和呼吸频率的测量研究［J］.光学技术,2011,37(3):309-312.
2016, Vol. 37 
