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基于模糊神经网络的自适应噪声消除方法在视觉诱发电位提取中的应用
引用本文:尹海娥,曾衍钧,任志浩,潘映辐. 基于模糊神经网络的自适应噪声消除方法在视觉诱发电位提取中的应用[J]. 航天医学与医学工程, 2004, 17(4): 244-247
作者姓名:尹海娥  曾衍钧  任志浩  潘映辐
作者单位:北京工业大学生物医学工程中心,北京100022;国家知识产权局专利局,北京,100088;北京伟伯康科贸有限公司,北京100089;北京友谊医院,北京,100050
摘    要:目的本文旨在提取淹没在强背景噪声自发脑电信号(EEG)中的视觉诱发脑电信号。方法通过设计合适的自适应模糊神经网络(ANFIS),对视觉诱发脑电信号进行建模,从而采用自适应噪声消除方法滤除干扰信号,提取出视觉诱发脑电信号。结果经与目前临床通用的相干平均法比较,在波形整体和P100潜伏期的提取上,效果显著。结论基于ANFIS的自适应噪声消除方法可有效的用于诱发脑电信号VEP的检测。

关 键 词:视觉诱发电位  脑电图  神经网络  自适应噪声消除
文章编号:1002-0837(2004)04-0244-04

Application of Adaptive Noise Cancellation with Adaptive-network-based Fuzzy Inference System for Estimation of VEP
YIN Hai-e,ZENG Yan-jun,REN Zhi-hao,PAN Ying-fu.Biomedical Information Institute,Beijing University of Technology,Beijing ,China. Application of Adaptive Noise Cancellation with Adaptive-network-based Fuzzy Inference System for Estimation of VEP[J]. Space Medicine & Medical Engineering, 2004, 17(4): 244-247
Authors:YIN Hai-e  ZENG Yan-jun  REN Zhi-hao  PAN Ying-fu.Biomedical Information Institute  Beijing University of Technology  Beijing   China
Affiliation:YIN Hai-e,ZENG Yan-jun,REN Zhi-hao,PAN Ying-fu.Biomedical Information Institute,Beijing University of Technology,Beijing 100022,China
Abstract:Objective To estimate visual evoked potentials (VEP) from large background noise of e-lectroencephalogram (EEG). Method The adaptive-network-based fuzzy inference system (ANFIS) was carefully designed to model the VEP signal, the adaptive noise cancellation with ANFIS was applied for estimating VEPs. Result A series of computer experiments conducted on simulated and real-test responses have confirmed the superiority of the method developed in this paper. Conclusion The adaptive noise cancellation method with ANFIS can be efficiently utilized to estimate VEPs.
Keywords:visual evoked potentials  electroencephalogram  neural network  adaptive noise cancel- ation
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