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癫痫脑电涟波的小波方差预测方法
引用本文:陈昭阳,杨德智,马薇,胡亚婷,石艳丽,赵实,刘献增. 癫痫脑电涟波的小波方差预测方法[J]. 医疗设备信息, 2012, 0(2): 22-24
作者姓名:陈昭阳  杨德智  马薇  胡亚婷  石艳丽  赵实  刘献增
作者单位:[1]国家知识产权局专利审查协作中心,北京100083 [2]北京大学人民医院神经内科,北京100044
摘    要:
采用小波包分析提取癫痫发作前脑电信号的万波、口波、涟波和快速涟波,提出采用脑电信号的小波方差作为癫痫发作的特征量,并选择其中的涟波和快速涟波的小波方差对癫痫发作进行预测。

关 键 词:脑电仪表  大鼠癫痫模型  小波方差  癫痫预测

Wavelet Variance Forecasting for Epileptic Seizures Detection of EEG Ripple Waves
CHEN Zhao-yang,YANG De-zhi,MA Wei,HU Ya-ting,SHI Yan-ti,ZHAO Shi,LIU Xian-zeng. Wavelet Variance Forecasting for Epileptic Seizures Detection of EEG Ripple Waves[J]. Information of Medical Equipment, 2012, 0(2): 22-24
Authors:CHEN Zhao-yang  YANG De-zhi  MA Wei  HU Ya-ting  SHI Yan-ti  ZHAO Shi  LIU Xian-zeng
Affiliation:1.Patent Examination Cooperation Center, State Intellectual Property Office, Beijing 100083, China; 2.Department of Neurology, People' s Hospital of Peking University, Beijing 100044, China)
Abstract:
In this paper, we use the wavelet variances of, ripple and fast ripple waves decomposed to better understand and detect the characteristics of the epileptic seizures are obtained and the wavelet variances of ripple wave and fast ripple wave are employed to forecasting the epileptic seizures.
Keywords:EEG  model of rat epilepsy  wavelet variance  epileptic forecast
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