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International Journal of Medicine and Science of Physical Activity and Sport

International Journal of Medicine and Science of Physical Activity and Sport

REVISTA INTERNACIONAL DE MEDICINA Y CIENCIAS DE LA ACTIVIDAD FÍSICA Y EL DEPORTE

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Analysis of nutrient intake and energy consumption during college students' exercise based on big data technology

Issue Volume 22, Number 85, 2022 Articles 
Runping Zhang
College of Physical Education, Sanya University, Sanyan, 572022, Hainan, China
Xue Hong
College of Digital Economy, Sanya University, Sanyan, 572022, Hainan, China

Abstract

In order to analyze the correlation between nutrient intake and energy consumption in college students' exercise, this paper combines big data technology to analyze the nutrition intake and energy consumption in college students' exercise process, so as to promote the balance of nutrient intake and energy consumption in college students' exercise. Moreover, this paper proposes a data-driven model predictive controller for designing multi-rate sampling systems based on model regression and system identification. In addition, this paper uses an extended dimension method to transform the multi-rate sampling system into an equivalent linear discrete time-invariant system to perform model optimization. Finally, this paper verifies the validity of the model in this paper through experimental research and gives some suggestions.

Keywords: big data, college students' exercise, nutrition intake, energy consumption
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Periodicidad Trimestral/Quartely
Revista multidisciplinar de las Ciencias del Deporte
ISSN: 1577-0354
All journal articles are published in Spanish together with their corresponding translation into English

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