【摘要】 脑电癫痫特征波的自动提取对于患者的诊断以及减轻医生的繁重劳动都具有重要的意义。我们提出一种基于经验模态分解(EMD)的癫痫特征波检测方法,该方法首先经过EMD分解得到若干个固有模态函数(IMF),然后对其中的第一个IMF应用非线性能量算子(NEO)进行特征波提取,从而达到自动检测的效果。在对数值模拟的和真实的癫痫脑电信号(EEG)的仿真实验中,该方法都取得了较好的结果。更多还原

【Abstract】 The automatic spike detection in EEG is significant in both diagnosing illness and alleviating the heavy labour force of the doctor.This paper proposes a new EMD based method to complete spike detection.It decomposes a signal into a few intrinsic mode functions(IMF),and then applies the nonlinear energy operator(NEO) to the first IMF to complete the automatic detection.Sufficient results are obtained by applying this method to the spike detection of the simulation signal and the real epileptic EEG signal.更多还原