时频测试方法在脑电信号分析中的应用  

The Application of Time-Frequency Testing Methods in EEG Signals Analysis

作　　者：季忠[1] 秦树人[1] 

机构地区：[1]重庆大学测试中心,重庆400044

出　　处：《重庆大学学报（自然科学版）》2003年第11期1-5,共5页Journal of Chongqing University

基　　金：国家自然科学基金资助项目(59875090)

摘　　要：脑电波反映了通过感觉器官的各种信息的传递和处理过程,具有非常大的信息量。越来越多的证据表明,脑电波异常与脑病变具有密切的关系,临床上也越来越多地借助于脑电图来对癫痫、脑肿瘤、智力状况等疾病进行诊断。而脑电信号特征波的有效提取可以为医生的临床诊断提供更多的依据,以提高诊断的准确性。在对脑电的研究过程中,人们已经在临床上使用了各种时域和频域测量与分析方法,在理论上探讨了某些时频测试方法应用于脑电信号特征波形提取和分析的有效性,但临床应用未见报道。从临床应用及科学研究的目的出发,在"虚拟式脑电测量与分析仪"中集成了Gabor变换、Wigner分布、Choi-Williams分布、小波变换等各种时频测试分析方法来提取脑电信号中的特征波。分析表明,针对不同的目的和不同的特征波,选用不同的时频测试分析方法,可以获得满意的结果。The brain electricity waves reflect the course of all kinds of information transfer and processing which are of great information capacity. The efficient detection of feature waves of EEG signals can provide more proof in clinic diagnose for doctors, then improve the veracity of diagnosis. In the course of studying the EEG, all kinds of measurement and analysis methods in time domain and frequency domain have been used in clinic, and the validity of some timefrequency testing methods to be applied to detect and analyse the feature waves of EEG waves have been discussed in theory, but which have not been found in clinic. From the view of clinic application and science investigation, all kinds of timefrequency testing and analysis methods such as Gabor transform, Wigner distribution, ChoiWilliams distribution and wavelets transform have been integrated into the 'virtual EEG measurement and analysis instrument' for detecting the feature waves of EEG signals. It is indicated tiat the satisfied results can be obtained by selecting different timefrequency testing and analysis methods based on the different purposes and feature waves.

关 键 词：脑电波 特征波形 时频测试 GABOR变换 WIGNER分布 Choi—Williams分布 小波变换 

分 类 号：O174.2[理学—数学]