Abstract

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Author(s):: ZHANG Sihe; CAO Le; XU Shiwen; XU Haoyang; School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China

Keywords:: Keywords: nutrient metabolism monitoring indirect calorimetry Kalman filtering Bessel filtering

Abstract:: Abstract: In response to the demand for portable and rapid measurement in normalized nutritional metabolism monitoring, a low-power and multifunctional measurement method and system scheme based on indirect calorimetry is proposed. Firstly, a combination of Kalman and the 5th order Bessel filtering algorithm is used to preprocess the real-time data of oxygen, carbon dioxide, flow rate and electrocardiogram, and the cumulative amount of gas per unit time is obtained. Secondly, a rapid nutrient metabolism measurement method that considers resting analyses of electrocardiogram and respiratory waves is designed, and a calculation model for energy metabolism parameters is constructed. Then, a dedicated collection and analysis circuit system is developed to transmit data to the upper computer or cloud through wireless networks, achieving intelligent and networked design. Finally, the resting state of the subjects is determined by analyzing electrocardiogram and respiratory parameters, and the test of monitoring nutrient metabolism is completed. The results show that the system can effectively detect metabolism related physiological signals with high precision, and achieve accurate measurement of human fat and sugar consumptions on metabolism, providing an effective means for measuring human metabolic energy.