基于小波变换的癫痫脑电相位同步化分析方法

Study of phase synchronization in epilepsy EEG based on wavelet transform

目的:探讨预报癫痫疾病的方法。方法:应用基于小波变换的相位同步化分析方法,对6例癫痫患者长期颅内EEG记录的8个导联进行相位同步化分析,得到每两个导联之间的相位同步化值R。结果:6例癫痫患者的分析结果均表明该方法可以区分发作间期与发作前期的状态。结论:基于小波变换的相位同步化分析方法是一种适用性强、局限性小、可靠性高的癫痫预报算法。

Objective To discuss how to predict epilepsy. Methods Method of phase synchronization based on the wavelet transform was used to detect the phase synchronization of 8 leads in long-term intracranial EEG recording from 6 epilepsy patients. The value of phase synchronization R between every 2 leads was obtained. Results The phase synchronization analysis based on the wavelet transform could distinguish a preictal state and normal interictal state. Conclusion The phase synchronization analysis based on the wavelet transform is a useful algorithm that is applicable for epileptic prediction and has limited localization.