过度训练运动员脑电波的功率谱分析及其计算机频域差值判别方法

对20名运动员在过度训练和正常状态下的脑电功率谱做了自身对比,建立了脑电频域差值判别法,与脑电图常规分析法相比,减少了个体差异的影响,提高了诊断的准确率。

COMPUTER ANALYSIS OF EEG ON OVERTRAINED ATHLETES AND ITS CLASSIFICATION BASED ON SPECTRAL DIFFERENCES

This paper focuses on investigating the spectral changes of EEG in overtrained athletes through self-normal controls and thus establishing a digital quantitative approach to recognize the EEGs of overtrained ones. In addition, the VEPs of those with overtraining were analysed.During a period of 11 months, EEGs of each of 20 athletes were recorded separately at their overtrained and normal states. A control group was formed of 19 normal athletes, each of whom two EEG exams were made too. The EEG was taken at rest, during periodic flash stimulation and after hyperventilation (HV). Paired t test was performed on the power spectra of EEGs and VEPs, and Fisher classifier were established by the differences of spectral features (DSF) between the two EEGs in each of almost all of the 30 cases.The relative powers of the EEGs in the overtrained cases showed a significant increase (P<0.001) in 4.1-7.9 Hz bands and decrease(P<0.001) in 8-12.9 Hz in C_3 lead at rest, and marked increases in 2-7.9 Hz bands and reduction in 8-12.9 Hz bands (P<0.001) and in 13-24.9 Hz bands (P<0.01, P<0.05) in C_3 and O_1 leads after HV, and increase of difference of peak frequencies between pre-and post-HV from C_3 and O_2 (P<0.001, P<0.01) were observed. The VEPs of the overtrained cases reveal no obvious change.Using the DSF method, the EEGs of the overtrained athletes were scored as abnormal except one of them vs none in the normal control group. In contrast, on visual inspection of the EEGs, 3 overtrained cases showed normal and 3 cases in the normal group, abnormal.