Effects of Exercise Training on EEG Activity Patterns during Cognitive Tasks

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Authors

  • Wei Wang Nanjing Normal University
  • Jianhong Han Université Paris Cité
  • Damien Vitiello Université Paris Cité

DOI:

https://doi.org/10.55549/epess.824

Keywords:

Exercise training, Machine learning, Brain development

Abstract

To explore the effective method to detect the effect of exercise training on EEG activity, this paper compared the distinguishability of EEG changes relevanted to exercise training in different cognitive states. EEG signals of college students who have undergone long-term exercise training (exercise training group) and college students who have not undergone such training (control group) were collected under specific cognitive tasks (Motor imagination tasks). Then the power characteristics of alpha wave and beta wave were obtained by wavelet transform method. The machine learning method was used to distinguish the difference of brain electrical activity between the exercise-trained subjects and the control group during the exercise-related cognitive tasks. Results showed that EEG patterns between two groups were not distinguished in rest status (the accuracy is lower than 59%), but they were separable in the completion of the motor cognitive tasks. The accuracy was over 85%. The pattern of brain electrical activity during cognitive tasks can better reflect the effect of exercise training.

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Published

2024-08-18

How to Cite

Wang, W., Han, J., & Vitiello, D. (2024). Effects of Exercise Training on EEG Activity Patterns during Cognitive Tasks. The Eurasia Proceedings of Educational and Social Sciences, 35, 294–299. https://doi.org/10.55549/epess.824

Issue

Vol. 35 (2024)

Section

Articles

License

Copyright (c) 2024 The Eurasia Proceedings of Educational and Social Sciences

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