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基于距离测度法的中枢神经系统损伤检测
引用本文:郑松,叶家金,等.基于距离测度法的中枢神经系统损伤检测[J].大连铁道学院学报,2001,22(4):29-36.
作者姓名:郑松  叶家金
作者单位:[1]大连理工大学电子与信息工程学院,辽宁大连116024 [2]大连铁道学院电气信息分院,辽宁大连116028
摘    要:基于AR模型的EEG信号距离测度方法可以较好地表征中枢神经系统损伤的情况。主要探讨在这种方法中利用不同的定阶准则建立相应的AR模型及其对距离测度结果的影响。同时,使用自适应滤波器对原始信号进行滤波,将分离后的平稳和非平衡成分再进行距离测度法的研究。对滤波器的参数分析表明,这种方法可以很好地消除EEG信号中可能混有的不同程度的噪声,得到的距离测度结果也能更好地表示损伤的变化情况。

关 键 词:脑损伤检测  脑电图  距离测度法  AR模型  自适应滤波  中枢神经系统损伤

Distance Measurements Based Injury Detection of the Central Nervous System
ZHENG Song Deartment of Electronic Engineering,Dalian University of Technology,Dalian ,China QIU Tian-shuang Deartment of Electronic Engineering,Dalian University of Technology,Dalian ,China YE Jia-jin Dept. of Electrical Engineering.Distance Measurements Based Injury Detection of the Central Nervous System[J].Journal of Dalian Railway Institute,2001,22(4):29-36.
Authors:ZHENG Song Deartment of Electronic Engineering  Dalian University of Technology  Dalian  China QIU Tian-shuang Deartment of Electronic Engineering  Dalian University of Technology  Dalian  China YE Jia-jin Dept of Electrical Engineering
Institution:ZHENG Song Deartment of Electronic Engineering,Dalian University of Technology,Dalian 116024,China QIU Tian-shuang Deartment of Electronic Engineering,Dalian University of Technology,Dalian 116024,China YE Jia-jin Dept. of Electrical Engineering
Abstract:AR model based distance measurements with EEG signals are well reliable for the injury detection of the central nervous system. This paper uses several criteria to estimate the order of the AR model and the influence for the distance measurement outcomes. Also, an adaptive filter is employed to separate steady and unsteady conponets from original EEG signals. Both components are used to detect the brain injury. The simulation results show that this method is helpful for the noise elimination in EEG signals and the distance measurement out- comes reflect the injury changes in EEG well.
Keywords:brain injury detection  electroencephalogram(EEG)  distance measurement  AR model  adaptive filter
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