Changes Of EEG Power Spectrum After Exhaustive Exercise And Its Correlation With Athletic Ability Of College Students Majoring In Physical Education

Objective:EEG,as an observable bioelectrical signal,is one of the main methods in the field of brain science,and it is of great significance to the study of brain cognition and brain mechanism.Power spectrum is a key indicator of EEG signals.The changes in energy at different frequency bands in the resting state power spectrum can reflect some basic physiological functions of the brain,including the activity of vertebral cells in the cerebral cortex and the degree of fatigue in the nerve center.Therefore,this research through the establishment of exhaustion movement model,to observe the professional sports college students exhaustion exercise on the brain electric signal changes and analyzed the influence of the change characteristics and the cause of the possible reasons for the change,the judgement of exercise fatigue is dedicated to provide you with reference of biological signal,and explore the EEG signals and the possible correlation between different sports ability,so as to improve the reference for college students' teaching and sports practiceMethods:Physical education college students(18 boys and 10 girls)were selected as experimental subjects.The Bruce program was used for exhaustive exercise,and the power spectrum test of resting state electroencephalogram(EEG)was performed before exercise,after exercise and the next morning,including ?,?,?,? and Changes in the energy values of the five main bands;At the same time,Physiological indexes related to exercise fatigue were measured,including objective indexes such as blood oxygen saturation,heart rate,reaction time,flash fusion frequency and subjective indexes such as self perceived fatigue scale(RPE).In addition,different power bicycles were used to test the exercise ability of the experimental subjects,among which the aerobic exercise ability and anaerobic exercise ability were tested by the methods of astrand nomogram and Wingate respectively;the test indexes included the maximum oxygen uptake(VO2max)representing the aerobic exercise ability,the maximum anaerobic power representing the anaerobic exercise ability and the average anaerobic power representing the anaerobic exercise ability rate.The data of EEG signals were processed and analyzed by MATLAB(R2013b)software and eeglab 13₀₀b toolkit;Correlation analysis was performed between the different sports ability indicators and the power spectrum energy averages of the five bands of the resting state EEG using the Pearson method.The data were statistically analyzed by SPSS software.Results:1.EEG signal detection resultsComparison between groups:The average energy value of resting-state power spectrum of boys after exercise in the ?,?,?,and ? bands of the F3 brain region and the a band of the C3 brain region were significantly lower than those of the female students(p<0.05).It is shown that there is a gender difference in the resting power spectrum of the exhausted exercise model.Comparison within groups:(1)The pairwise comparison of the mean energy values of the resting state power spectrum in the three states of the exhausted exercise model showed that the mean values of the ? and ? wave energy of the boys before and after the comparison decreased significantly,while the mean values of the ? wave energy of the girls decreased significantly;Comparing the pre-exercise and the next morning,the average energy of ? and ? waves of boys decreased significantly,while the average of ?,?,and ? waves of girls decreased significantly;Comparing the after exercise and the next morning,the average energy values of ?,?,and ? waves of boys decreased significantly,while the average values of ?,?,and ? waves of girls decreased significantly.This means that exhausted exercise leads to a reduction in the mean energy value of the resting state power spectrum,and after recovery,it does not return to the quiet level before exercise.(2)Comparing before and after exercise,boys '? wave F3 brain area,beta wave FZ,F3,F4,C3 brain area,gamma wave FZ,C3 brain area and girls' gamma wave C3 brain area show differences;Comparing the pre-exercise and the next morning,it was found that the F4 brain area of the ? wave,the FZ,CZ,F4,C3,C4 brain area of the? wave show differences in boys;And girls with ? wave F3 brain area,? wave F4,C3,C4 brain area,? wave F4,CZ,C3,C4 brain area,? wave C3 brain area show differences;Comparing the after exercise and the next morning,it was found that the boys' ? wave F3,?C4 brain regions,? wave FZ?F3?F4?C4 brain regions,?wave F4 brain regions,and girls' ? wave F3 brain regions,? wave F3?F4,?and C3 brain regions,? wave FZ,?F4,?C3?C4 brain regions,and 0 wave C3?C4 brain regions showed differences.This shows that the left brain of boys is more affected by exhaustion exercise,and the right brain of girls is more affected by exhaustion exercise.The brain affected by the different phases of exhaustion exercise are also not consistent.2.Test results of different performance indicators:There was no significant difference between male and female VO2max(p>0.05),but the average and maximum anaerobic power of male was significantly higher than that of female(p<0.05).Test results of fatigue-related indicators:The average reaction time of men and women after exhaustive exercise was significantly higher than that before exercise(p<0.01),and there was no significant difference between men and women in the average correct exercise time before and after exercise(p>0.05);the flash fusion frequency of men and women after exhaustive exercise was significantly lower than that before exercise(p<0.01),and the difference between women before and after exercise was greater than that of men,and the degree of fatigue reached mild fatigue.The blood oxygen saturation of men and women after exhaustive exercise was significantly lower than that before exercise(p<0.05);After exercise,the heart rate is significantly more than before(p<0.01).Heart rate at exhaustion all reached 95%of its maximum heart rate.The RPE score increases with the level of the running treadmill.At the time of exhaustion,the subjects reached 18-19 scores.It shows that the subjects reached exhaustion status by monitoring the subjective and objective indicators of fatigue.Correlation analysis results:The higher the VO2max of boys,the greater the average value of ? wave energy in the F4 brain region after exercise,r=0.638(p<0.01);the higher the girl's V02max,the greater the average energy values of ? waves in the CZ(r=0,670)and C3(r=0.661)brain regions and ?(r=0.663)and ?(r=0.710)waves in the C3 brain region before exercise;The higher the maximum anaerobic power of boys,the smaller the average value of ? wave energy in the C4 brain area after exercise,r=-0.479(p<0.05);The higher the average anaerobic power of boys,the smaller the average value of the five bands of C4 brain area after exercise,the higher the average anaerobic power of girls.In addition,the average energy of the other bands except the ? wave in the morning of the boy showed a significantly positive correlation with the heart rate,and mainly concentrated in the frontal and central regions;The average value of energy in theta band is significantly positively correlated with heart rate after exercise.The heart rate of girls before and after exhaustive exercise is mainly related to the average energy value of the ?-band,which indicates that as the degree of exhaustion deepens,the average value of the ?-wave energy increases.The average response time between men and women is correlated with the central region after exercise.Boys are mainly associated with slow waves in the left brain region,while girls are mainly associated with fast waves in the right brain region;The flash fusion frequency results of boys also correlate with slow waves in some brain regions.Conclusion:(1)The mean of resting energy spectrum energy of exhaustive exercise model is different in gender,and the mean of resting energy spectrum energy of boys is lower than that of girls after exhaustive exercise;the mean of resting energy spectrum energy of boys and girls in each group has the same change in brain area after exhaustive exercise,and the left brain area is more affected by exhaustive exercise than the right;After exhausting exercise,the changes of different wave bands are not consistent,the ?,? wave of boys is significantly reduced,the ? wave is significantly increased,but only the ? wave of girls is significantly reduced;After a night's rest,the energy value of each band could not be restored to the pre exercise state.Different brain regions have different changes after fatigue.We can judge the influence of exhausted exercise on the subjects by observing the changes of left and right brain electrical signals in frontal and central regions.(2)Exhaustive exercise leads to changes in subjective and objective indicators related to nervous system fatigue,including prolonged average response time,decreased flash fusion frequency,increased heart rate,decreased blood oxygen saturation,and RPE value gradually deepened as the degree of exhaustion deepened.The occurrence of fatigue reduces the sensitivity and excitability of the nerves.With the help of response time,flash fusion frequency,heart rate,blood oxygen saturation,and RPE value,it can effectively determine whether the body has reached the exhausted state and the degree of nervous system fatigue.(3)Boys 'VO2max is positively correlated with the ? wave average energy value of the right forehead brain area after exercise,while girls' VO2max is negatively correlated with the central area slow wave energy value before exercise;The average and maximum anaerobic power of boys were negatively correlated with the average energy value of the C4 brain region after exercise,while only the average anaerobic power of girls was positively correlated with the ? wave of the right forehead brain region after exercise.In addition,there are potential but irregular correlations between fatigue-related indicators and EEG,which can be used as auxiliary reference indicators for future experiments involving such experiments.In conclusion,exhausting exercise will lead to the decline of body function,which violates the principle of scientific training,so we should try to avoid exhausting exercise once in training and reduce its damage to the body;we should combine the EEG index with the physiological and biochemical indexes to apply them to the teaching and training practice of College students,so that they can develop healthily.