Effect analysis and strategy optimization of endurance training for female college students based on EEG analysis

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Abstract

Using the method of experimental research, the experimental group and the control group of 10 female students were tested with electroencephalogram (EEG). The values of concentration and relaxation were collected in three states, i.e. quiet state, 1 min and 3 min at the end of 3-min step test. Based on the comparative analysis, the changes of EEG in aerobic exercise were revealed, and then the EEG model was established. The training program was adjusted at any time on the premise that the model was close to the EEG. After 3 months of endurance training, the results were analyzed and the optimal scheme was selected. The results show that: 1. According to the EEG model established by SPSS MODELER, the exercise effect of experimental group 2 in walking and running training program adjusted anytime is better than that of experimental group 1 of traditional exercise; 2. EEG can be used as an important reference index to guide the development of aerobic exercise and improve endurance quality.

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APA

Han, L. (2018). Effect analysis and strategy optimization of endurance training for female college students based on EEG analysis. In Advances in Intelligent Systems and Computing (Vol. 580, pp. 418–425). Springer Verlag. https://doi.org/10.1007/978-3-319-67071-3_49

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