论文部分内容阅读
脑电信号是一种产生机理相当复杂且非常微弱的随机信号,综合反映了大脑组织的脑电活动及大脑的功能状态.由于脑电信号的微弱性,传统的基本模板方法在脑电信号分析上得到了良好的应用.为进一步提升分析脑电信号的性能,提出了一种新的基于自适应模板的转移熵方法并分析了青少年脑电与成年人脑电信号.结果表明:对于青少年脑电还是成年人脑电,与基本模板法相比,基于自适应模板法的转移熵可以更显著地表示脑电信号的耦合作用,并且具有更好的区分度,这将能更好地捕捉到信号中的动态信息、系统动力学复杂性的改变.同时,该方法将更有利于医学临床诊断的辅助检测,对脑电信号是否处于病理状态的诊断提供了新的更好的判断依据.
EEG is a very complicated and very weak stochastic signal, which comprehensively reflects brain tissue EEG activity and brain functional status.Because of the weakness of EEG signal, the traditional basic template method is used in EEG signal analysis Has been well applied.In order to further enhance the performance of EEG analysis, a new transfer entropy method based on adaptive template is proposed and the EEG signals of adolescent and adult are analyzed.The results show that for adolescent brain EEG or adult brain EEG, the transfer entropy based on the adaptive template approach can more significantly represent the coupling of EEG signals and have better discrimination than the basic template approach, which will better capture the signal In the dynamic information, system dynamics complexity change.At the same time, the method will be more conducive to the medical clinical diagnosis of auxiliary detection, the diagnosis of EEG signals in the pathological state provides a new and better basis for judgment.