COMPUTER ANALYSIS OF EEG ON OVERTRAINED ATHLETES AND ITS CLASSIFICATION BASED ON SPECTRAL DIFFERENCES
- VernacularTitle: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
- Author:
Yifan CHEN
;
Qingzhang WENG
;
- Publication Type:Journal Article
- Keywords:
EEG, EEG computer analysis, overtraining, VEP
- From:
Chinese Journal of Sports Medicine
1982;0(01):-
- CountryChina
- Language:Chinese
-
Abstract:
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
