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

  • Tianhao Wang
  • Chenming Li
  • Yan WangEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 527)

Abstract

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.

Keywords

Energy metabolism Physiological parameter Extreme learning machine 

Notes

Compliance with Ethical Standards

The study had obtained approval from both Third Military Medical University Ethics Committee and the Army Key Laboratory of SEEPC Ethics Committee.

All subjects participated in experiment had signed the informed consent.

All relevant safety, heath, and rights had been met in relation to subject protection.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Southwest Hospital, Third Military Medical UniversityChongqingChina
  2. 2.The Quartermaster Research Institute of Engineering and TechnologyBeijingChina
  3. 3.Department of OrthopaedicsGeneral Hospital of Chinese People’s Liberation ArmyBeijingChina

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