[1]张少白[],王勇[],刘友谊[]. 基于DIVA模型的脑电信号处理方法研究[J].计算机技术与发展,2016,26(08):152-155.
　ZHANG Shao-bai[],WANG Yong[],LIU You-yi[]. Research on a Method of EEG Signal Processing Based on DIVA Model[J].,2016,26(08):152-155.
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 基于DIVA模型的脑电信号处理方法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年08期
页码:
152-155
栏目:
应用开发研究
出版日期:
2016-08-10

文章信息/Info

Title:
 Research on a Method of EEG Signal Processing Based on DIVA Model
文章编号:
1673-629X（2016)08-00152-04
作者:
 张少白[1]; 王勇[1]; 刘友谊[2]
 1.南京邮电大学 计算机学院；2.北京师范大学 认知神经科学与学习国家重点实验室
Author(s):
 ZHANG Shao-bai[1]; WANG Yong[1]; LIU You-yi[2]
关键词:
 ; DIVA模型; 脑电信号; 核磁共振成像; 独立分量分析
Keywords:
 ; DIVA model; EEG signal; fMRI; independent component analysis
分类号:
TP31
文献标志码:
A
摘要:
 DIVA( Directions Into of Articulators)模型是一种为了生成单词、音节或者音素而控制模拟声道运动的自适应神经网络模型,其依赖的输入信号是从人体大脑中采集到的脑电信号。针对汉语神经分析系统研究中非侵入式脑机接口采集到的脑电数据存在的分辨率低、干扰大的问题,文中提出一种基于DIVA模型对脑电信号进行约束处理的方法。首先利用独立分量分析方法剔除原始信号中的噪声,提取有效事件相关电位( Event-Related Potentials,ERP)成分；然后以模拟生成的功能性磁共振成像(functional Magnetic Resonance Imaging,fMRI)数据的激活点的空间信息作为限制条件,对提取出的ERP成分进行精确定位。通过对实验数据进行分析处理并模拟受试者的激活脑区,验证了所提方法的正确性和有效性。
Abstract:
 DIVA ( Directions Into Velocities of Articulators) is an adaptive neural network model which is used to control the movement of analog vocal tract for generating the words,syllables or phonemes. The input signal that DIVA model depends on is the EEG ( Electro-EncephaloGram) signal collected from the human brain. However,EEG data collected through non-invasive brain-computer interface shows low resolution and large interference in the research of Chinese Neuralynx System. A constraint processing method for the EEG sig-nal based on DIVA model is proposed. Firstly,it uses ICA ( Independent Component Analysis) to exclude the original noise in the signal and extract the effective ERP ( Event-Related Potentials) ingredient. Then,on condition of spatial information of points which are activa-ted by fMRI ( functional Magnetic Resonance Imaging) data,it locates ERP ingredient precisely. Finally,through processing and analy-zing experimental data and simulating activated brain regions of the subjects,the result verifies correctness and validity of the method.

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更新日期/Last Update: 2016-09-29