A Metabolic Rate Estimation Model Based on Heart Rate and Respiratory Rate

This paper innovatively proposes a method to estimate metabolic rate. By extracting the time-domain statistical features of heart rate and respiratory rate, the metabolic rate evaluation model is established by using random forest regression algorithm. The results show that the model is superior to the existing heart rate method in predicting accuracy of metabolic rate and adapting to individual differences, and R2 can reach 0.99. At present, the accurate measurement of metabolic rate requires complex or expensive equipment, but the method proposed in this paper is conducive to the real-time measurement of dynamic metabolic rate conveniently, which can be used to study energy expenditure during exercise.