Abstract
Objective Through the studies on contrastive analysis of three models, find a scientific and simple method to evaluate energy expenditure. Methods Six healthy young men are selected as the test objects. The tests were conducted until the test objects’ heart rate reached 90% of the maximum or they could not insist on testing. Data including VO2, VCO2, HR, and ACC were measured. The energy expenditure models put forward by Keytel and Sasaki were adopted to measure energy expenditure based on heart rate and accelerometer. Results There is no significant difference between the energy expenditure based on heart rate and IC method under the high exercise intensity (P > 0.05) and the energy expenditure measured according to acceleration and IC method (P > 0.05) under the low exercise intensity. In other conditions, there are significant differences between the two methods. Conclusions Energy expenditure is affected by many factors. Based on test purposes, researchers should adopt many physical parameters to evaluate and reduce the influence of single factor on the test results.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
McLaughlin JE, King GA, Howley ET et al (2001) Validation of the COSMED K4 b2 portable metabolic system. Int J Sports Med 22(4):280–284
Hawkins MN, Raven PB, Snell PG et al (2007) Maximal oxygen uptake as a parametric measure of cardiorespiratory capacity. Med Sci Sports Exerc 39(1):103–107
Keytel LR, Goedecke JH, Noakes TD et al (2005) Prediction of energy expenditure from heart rate monitoring during submaximal exercise. J Sports Sci 23(3):289–297
Eston RG, Rowlands AV, Ingledew DK (1998) Validity of heart rate, pedometry, and accelerometry for predicting the energy cost of children 's activities. J Appl Physiol 84(1):362–371
Benson R, Connolly D (2011) Heart rate training. Human Kinetics
Guinhouya CB, Hubert H, Dupont G et al (2005) Relationship between the accelerometer (actigraph) counts and running speed during continuous and intermttent exercise. J Sports Sci Med 4(4):534–542
Bouten CV, Westerterp KR, Verduin M et al (1994) Assessment of energy expenditure for physical activity using a triaxial accelerometer. Med Sci Sports Exerc 26(12):1516–1523
Acknowledgment
This research is supported by National Key R&D Program of China (2016YFC0802807).
Compliance with Ethical Standards
The study had obtained approval from the Army Key Laboratory of SEEPC Ethics Committee.
All subjects participated in the experiment had signed the informed consent.
There is no damage to test objects.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, C., Wang, T., Shen, Y. (2019). The Contrastive Analysis of Three Models About Human Energy Expenditure. In: Long, S., Dhillon, B. (eds) Man-Machine-Environment System Engineering . MMESE 2018. Lecture Notes in Electrical Engineering, vol 527. Springer, Singapore. https://doi.org/10.1007/978-981-13-2481-9_3
Download citation
DOI: https://doi.org/10.1007/978-981-13-2481-9_3
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-2480-2
Online ISBN: 978-981-13-2481-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)