基于普通摄像头的心率测量方法研究

摘要

Heart rate measurement is important for monitoring people’s physiological and body state. A method of mea-suring heart rate using a low-cost Webcam is proposed. The signal containing heartbeat information is extracted from face image sequences according to Photoplethysmography(PPG)principle. Blood Volume Pulse(BVP)is acquired by wave-let filtering followed by energy spectrum analysis utilized to calculate the Heart Rate(HR). Experimental results indicate that this method has a high accuracy which can meet the requirement of pharmaceuticals industry standard. Benefitting from non-contact, convenience, and low-costs, it provides great promise for popularization of home healthcare and can further be applied to biomedical research.%心率测量是一种监测人体生理状态和身体状态的重要手段。提出了一种基于摄像头的非接触式心率测量方法。基于光电容积描记原理（PPG），从普通摄像头拍摄到的人脸彩色图像序列中提取出含有脉搏成分的信号，并利用小波滤波得到血液容积脉搏波；用傅里叶变换进行能量谱分析并计算心率值。实验结果证明该方法测量准确度高且能够满足医药行业标准要求。由于无创，非接触，操作方便，成本低，该方法在家庭保健的普及方面有着了巨大的应用前景，也为生物医学实验提供了一项有利的工具。