基于人脸视频的非接触式心率测量系统研究OA

As an important physiological characteristic information,the heart rate plays an irreplaceable role in medical diagnosis.Non-contact heart rate detection can measure heart rate without direct contact with the tester,avoiding discomfort of tester caused by prolonged contact with the instrument during traditional heart rate measurement,and has lower cost and better portability.This paper proposes an algorithm that combines ICA and wavelet transform to sequentially perform color space conversion,noise reduction,time-frequency domain transformation,and other operations on the facial video input from the camera.The heart rate measurement system based on facial video is built,and multiple experiments are designed for different indicators.The experimental results show that the system can quickly and real-time detect human heart rate data,achieve non-contact heart rate detection,and meet the needs of heart rate detection.