People’s individual characteristics and their significance for producing reliable forecasts of the effectiveness of purposeful physical activity

We show here that individual psychophysiological characteristics have particular influences on the effectiveness of physical activity. Cluster analysis, artificial neural network technology, and a multifactorial linear regression model were used to generate an algorithm for predicting the effectiven...

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Bibliographic Details
Published in:Biomedical engineering 2023-11, Vol.57 (4), p.291-294
Main Authors: Mazikin, I. M., Lapkin, M. M., Akulina, M. V., Zorin, R. A., Avacheva, T. G.
Format: Article
Language:English
Subjects:
Algorithms
Artificial neural networks
Asymmetry
Biomaterials
Biomedical and Life Sciences
Biomedicine
Cluster analysis
Effectiveness
Engineering
Exercise
Forecasts and trends
Nervous system
Neural networks
Personal appearance
Physical activity
Physical fitness
Physical training
Physiology
Psychophysiology
Questionnaires
Regression models
Students
Surgery
Young adults
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Summary:We show here that individual psychophysiological characteristics have particular influences on the effectiveness of physical activity. Cluster analysis, artificial neural network technology, and a multifactorial linear regression model were used to generate an algorithm for predicting the effectiveness of purposeful activities when attempting target standards in physical culture by university students. The results obtained here provide grounds for building reliable predictions to define the direction of physical training in young people.
ISSN:0006-3398
1573-8256
DOI:10.1007/s10527-023-10318-3