To solve the problem that the daily pulse signal is susceptible to movement during the detection process, which causes the heart rate cannot be accurately monitored. A method to improve the accuracy of heart rate monitoring based on the fusion analysis of pulse signals behind the ears and the fingers is proposed. Use the difference between time and degree of pulse information of different parts affected by exercise to achieve information complementation?The pulse signals behind the ears and the fingers are detected simultaneously, and it is judged whether they are usable segments through quality assessment. When the signal quality is reduced due to motion interference, a better-quality pulse signal is selected for analysis by the information fusion method to ensure the accurate detection of the heart rate. The experimental results show that compared to using only a single-site pulse signal, the accuracy of peak detection after fusion analysis of the pulse signals behind the ear and the finger has been improved from 90.2% to 98.8%. The proposed method has a better ability to resist exercise interference and provides an effective way for the accurate detection of heart rate in daily life.