基于普通摄像头的心率测量系统设计

摘要

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,webcamˊs hardware configuration,etc.%为了研究一种通过普通摄像头非接触地拍摄人脸获取人体心率的测量系统，提出基于光电容积描记法原理，从人脸图像序列中可以提取出含有脉搏成分的信号，对该信号进行小波滤波得到血液容积脉搏波，然后用改进的时间间隔差法计算得到心率值。实验结果证明，如果将脉搏血氧仪测量的心率作为标准值，该系统测量结果的95％置信区间为[-2.2139，2.1539]，该系统与脉搏血氧仪的心率测量结果具有很高的一致性；通过调节光照强度和摄像头硬件参数等能够在一定程度上提高测量准确度。