Single-trial classification of MEG recordings

Single-trial classification of MEG recordings
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脑电图记录的单次试验分类

DOI:
10.1109/tbme.2006.888824
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发表时间:
2007-03-01
影响因子:
4.6
通讯作者:
Suppes, Patrick
Suppes, Patrick
中科院分区:
工程技术2区
文献类型:
--
作者:
Guimaraes, Marcos Perreau;Wong, Dik Kin;Suppes, Patrick

文献摘要

被引文献

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虽然脑磁图(MEG)被广泛用于识别与各种任务相关的大脑激活的空间位置,但刺激锁定实验中的单个试验的分类仍然是一个开放的主题。已经发表了非常重要的单次试验分类结果,使用脑电图(EEG)数据,但在MEG的情况下,相对于外部噪声,从相关源产生的磁场的弱点,以及数据的高维数是难以克服的障碍。我们在这里提出了非常显着的MEG单次试验平均分类率的话。分类的单词数量从7到9不等,视觉和听觉方式进行了研究。这些结果是通过使用各种盲源分离方法:空间主成分分析(PCA),Infomax独立成分分析(Infomax伊卡)和二阶盲识别(SOBI)。使用两种方法,线性判别分类(LDC)和nu-支持向量机(nu-SVM)获得的源进行分类。这里使用的数据,听觉和视觉呈现的话,提出了非平凡的分类问题,但与Infomax伊卡与LDC,我们获得了很高的分类率。我们最好的单次试验的平均分类率为60.1%的分类900单次试验的9个听觉词。两类问题的检出率高达97.5%。
While magnetoencephalography (MEG) is widely used to identify spatial locations of brain activations associated with various tasks, classification of single trials in stimulus-locked experiments remains an open subject. Very significant single-trial classification results have been published using electroencephalogram (EEG) data, but in the MEG case, the weakness of the magnetic fields originating from the relevant sources relative to external noise, and the high dimensionality of the data are difficult obstacles to overcome. We present here very significant MEG single-trial mean classification rates of words. The number of words classified varied from seven to nine and both visual and auditory modalities were studied. These results were obtained by using a variety of blind sources separation methods: spatial principal components analysis (PCA), Infomax independent components analysis (Infomax ICA) and second-order blind identification (SOBI). The sources obtained were classified using two methods, linear discriminant classification (LDC) and nu-support vector machine (nu-SVM). The data used here, auditory and visual presentations of words, presented nontrivial classification problems, but with Infomax ICA associated with LDC we obtained high classification rates. Our best single-trial mean classification rate was 60.1% for classification of 900 single trials of nine auditory words. On two-class problems rates were as high as 97.5%.