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The Study of Evaluation Technologies for Human Energy Metabolism Based on Physiological Parameter

机译:基于生理学参数的人能代谢评价技术研究

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Objective Through the studies on the relations between physiological parameters and human energy metabolism, explore a new way of measuring energy expenditure. Methods Six healthy young men are selected as the test objects. Four physiological parameters (HR, BR, ACC, and BMI) are chosen as the test indicators. There were three states in the test, including stationary state, walking, and jogging. Based on the ELM's basic principles, an evaluation model of energy metabolism was established. Results The root mean square error (RMSE) and standard deviation (DEV) of energy expenditure evaluation models based on many physiological parameters are smaller than that of the model with a single factor. Conclusions The energy expenditure evaluation models with many physiological parameters have a better and more stable generalization capability, which can be used to accurately measure energy expenditure under different motion states.
机译:目的通过研究生理参数与人能源代谢的关系,探索测量能源支出的新方式。方法选择六种健康的年轻人作为测试对象。选择四个生理参数(HR,BR,ACC和BMI)作为测试指标。测试中有三个州,包括静止状态,行走和慢跑。基于ELM的基本原理,建立了能量代谢的评估模型。结果基于许多生理参数的能量支出评估模型的根均方误差(RMSE)和标准偏差(DEV)小于单个因素的模型的误差。结论具有许多生理参数的能源支出评估模型具有更好且更稳定的概率能力,可用于准确测量不同运动状态下的能源消耗。

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