Preictal state identification by synchronization changes in long-term intracranial EEG recordings 长期颅内EEG记录的同步变化可用于癫痫发作前期的识别
MAIN OUTCOME MEASURES: In the four phases of the seizures, before seizures, preictal phase, ictal phase and postictal phases, the changes in the ApEn and correlation dimension were observed. 主要观察指标:未发作、发作前、发作中和发作后四个阶段近似熵与相关维的变化。
Finally, the fuzzy similarity index is applied to indicate the preictal state of nine rats with EEG signals. 最后,分析大鼠癫痫EEG信号,检测癫痫发作前期状态。
Third, the scalp EEG signals are decomposed to different rhythm components using multiresolution analysis, and the evolution of the absolute wavelet power spectra of different rhythm in intraictal and preictal stage is explored. 第三,采用多分辨率分析将头皮脑电信号分解成不同节律成分,分析癫痫发作间期和发作前脑电信号各节律的绝对小波能谱变化状况。