便携式营养代谢测量系统设计-《中国医学物理学杂志》

文章信息/Info

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

摘要:: 针对常态化营养代谢监测中的便携式快速测量需求，提出一种基于间接测热法的低功耗多功能测量方法与系统方案。首先，采用卡尔曼和5阶贝塞尔滤波算法相结合，对氧气、二氧化碳、流量、心电实时数据进行预处理，得到气体在单位时间内累积量；其次，设计考虑心电图和呼吸波静息分析的营养代谢快速测量方法，构建能量代谢参数计算模型；然后，设计专用采集与分析电路系统，通过无线网络将数据传输至上位机或云端，实现智能化和网络化设计；最后，采用对心电图和呼吸参数分析实现对被试的静息状态判定，进而完成营养物质代谢监测试验。结果表明该系统能有效对代谢相关生理信号进行高精度检测，同时实现对人体脂肪和糖类代谢消耗的准确测量，为人体新陈代谢能量测量提供一种有效手段。

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.