[一种基于经验模态分解的癫痫棘波检测方法]

[An EMD based epileptic spike detection method].

作者信息

Zhu Yong, Chu Meng, Qiu Tianshuang, Bao Haiping

机构信息

Department of Electronic Engineering, Dalian University of Technology, Dalian 116024, China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2008 Apr;25(2):275-9.

PMID:18610605

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.

摘要

脑电图（EEG）中的自动尖峰检测在疾病诊断和减轻医生繁重劳动力方面都具有重要意义。本文提出了一种基于经验模态分解（EMD）的新方法来完成尖峰检测。该方法将信号分解为若干个固有模态函数（IMF），然后将非线性能量算子（NEO）应用于第一个IMF以完成自动检测。将该方法应用于模拟信号和真实癫痫脑电信号的尖峰检测，取得了充分的结果。