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EEG classification using neural networks2
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EEG classification using high accuracy TEA
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EEG classification using Gui
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EEG classification using Gui 2
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主分量分析，用于对脑电信号的判别分析，也可用于其他的二分类分析。-the classifier of principle component analysis,using for EEG and binary classification
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eeg program for classification
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SVM EEG signal classification
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利用遗传算法对SVMk进行优化,并将其用于脑电信号的分类中-By using the genetic algorithm to optimize SVMk, and use it to the classification of the eeg signals
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最新版的biosig4octmat程序，适用于EEG信号的特征提取和分类，以及分类器的性能评价-The the the latest version biosig4octmat program applies to EEG signal feature extraction and classification, and the performance evaluation of the classifier
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脑电信号的特征提取与分类，大家可以查阅，很有帮助的-EEG feature extraction and classification, we can access helpful
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关于脑机接口的文献，基于SVM和小波分析的脑电信号分类方法-Literature on brain-computer interface the EEG classification method based on SVM and Wavelet Analysis
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该程序描述了SVM神经网络的数据分类脑电信号种类识别。-The program describes the SVM neural network data classification EEG species identification.
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基于聚类分析的脑电信号数据处理，详细讲了脑电的基础知识然后讲了具体的脑电采集，然后是分类-EEG data processing based on cluster analysis, saying more about the basics of the EEG and then talk about specific EEG acquisition and classification
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this code reduce the dimentional of feature space using combine sparse matrix+PCA for classification eeg signal. more detail exixst inside the code.
this code tested and work properly
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对脑电信号进行模式识别分类，区分出运动想象脑电信号是想象左手运动还是想象右手运动-EEG pattern recognition on the classification, the distinction between the motor imagery EEG is imagination left hand movement or imagined movement
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The included are some recent research papers for the brain activity studies.
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Active Segment Selection Method in EEG Classification Using Fractal Features
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Classification of ictal and seizure-free EEG signals using fractionallinear prediction
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Code for EEG Classification
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脑电eeg数据预处理，用于脑电信号的MATLAB处理程序，输入处理数据，进行matlab运算，PCA处理及SVM分类。(PCA Processing and SVM Classification of EEG Data)
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