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一种基于EEG特征提取的癫痫棘波综合检测判决方法
引用本文:郑效来,邱天爽,赵庚申,鲍海平.一种基于EEG特征提取的癫痫棘波综合检测判决方法[J].中国生物医学工程学报,2005,24(6):696-699,704.
作者姓名:郑效来  邱天爽  赵庚申  鲍海平
作者单位:1. 大连理工大学电子与信息工程学院,大连,116024
2. 大连医科大学附属第二医院,大连,116023
基金项目:国家自然科学基金资助项目(No.30170259,30474075,60372081);辽宁省科学技术基金资助项目(No.2001101057).
摘    要:癫痫特征的自动检测在临床应用上具有重要的意义。本研究综合小波变换、非线性能量算子、特征提取和神经网络等技术,提出了一种癫痫棘波检测系统,充分发挥各技术的优点,在对真实脑电数据的处理中,表现出良好的性能。

关 键 词:癫痫  棘波检测  小波变换  非线性能量算子  神经网络
文章编号:0258-8021(2005)06-0696-04
收稿时间:2004-05-25
修稿时间:2004-05-252005-04-05

A Synthetic Detection Method Based on Feature Extraction of Epileptic Spike Waves in EEG
ZHENG Xiao-Lai,QIU Tian-Shuang,ZHAO Geng-Shen,BAO Hai-Ping.A Synthetic Detection Method Based on Feature Extraction of Epileptic Spike Waves in EEG[J].Chinese Journal of Biomedical Engineering,2005,24(6):696-699,704.
Authors:ZHENG Xiao-Lai  QIU Tian-Shuang  ZHAO Geng-Shen  BAO Hai-Ping
Institution:1. Department of Electronic Engineening, Dalian Unviersity of Technology, Dalian 116024;2 The 2^nd Attached Hospital to Dalian Medical University, Dalian 116023
Abstract:The automatic spike detection in EEG is significant in clinical application.This paper proposes and epileptic spike detection system that combines the wavelet transformation(WT),the nonlinear energy operator(NEO) and the artificial neural network(ANN).The system is evaluated with normal and epilepsy seizure EEG recordings.The results show that the system performs well under both normal and epilepsy seizure conditions.
Keywords:epilepsy  spike detection  wavelet transform  nonlinear energy operator  artificial neural network
本文献已被 CNKI 维普 万方数据 等数据库收录!
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