【摘要】 脑电癫痫特征波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意义。本研究结合经验模式分解(EMD)技术提出了一种基于经验模式分解的脑电棘波检测新方法。这种方法提取出EEG信号中与棘波信号相关的高频成分,计算其Hilbert变换后的瞬时幅值,进而检测出棘波信号。对临床EEG数据检测的结果表明,这种方法能有效地从复杂的背景EEG信号中检出棘波,具有良好的应用前景。更多还原

【Abstract】 The automatic spike detection in EEG is significant in both diagnosing epilepsy and alleviating the heavy labor force of the doctors.This paper proposes an empirical model decomposition(EMD) based epileptic spike detection method.It extracts the high frequency components related to spikes in EEG signal by EMD,and it detects the spikes by calculating the instantaneous amplitude of the high component with Hilbert transform.The results of experiments show that the method works well.更多还原