基于Wigner分布的脑电信号处理

The EEG signals processing based on Wigner distribution

临床实践表明,脑电信号中包含有大量的生理与疾病信息。对脑电信号进行行之有效的处理,不仅可以为医生提供临床诊断信息,而且可以为某些脑疾病的治疗提供有效的治疗手段。目前,随着信号处理技术的发展,在脑电信号处理中已应用了多种信号分析方法来提取脑电信号中所包含的信息,但大多数还是停留在理论研究阶段。本文在研制虚拟式脑电图仪的过程中,考虑到Wigner分布在各种时频分布中具有最简单的形式和良好的性质,从临床应用及医学研究相结合的角度出发,应用Wigner分布对脑电信号进行时频分析以提取脑电信号中的特征信息。对实测脑电数据的分析表明,应用此方法可获得较好的分析效果。

The clinical practice indicates that there are large numbers of physiologic and diseased information in EEG signals. It can not only provides clinical diagnosis information for doctors, but also provides valid remedy for some brain diseases by the effective processing of EEG signals. With the development of signal processing technology, more and more signal analysis methods are applied in EEG signals processing to extract the information in EEG, but most of them still rest on the theory research stage. From the view of clinical application and medicine research, and consider that Wigner distribution is of the simplest form and better property in all time-frequency analysis methods, the Wigner distribution is introduced into the 'virtual EEG record and analysis instruments' to obtain the feature information in EEG signals. It is proved that better analysis results can be achieved by the method.