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runica
- 提出了一种利用S函数实验结果表明：ICA可以将 脑电信号中包含的心电（ECG）、眼电（EOG）等多种干扰信号成功地分离出来-use of a S-function experimental results show : ICA EEG can be included in the heart (ECG), eyes (EOG) and other interference signal successfully separated
information
- 该程序主要分析了脑电信号的互相关熵问题，对于脑电信号的联通性问题，做了互相关分析，该软件可以很好的运行，并实现主要连通性问题的解决。
CSPfilter
- Common spatial pattern 公共空间模式滤波是处理脑电信号的一种方法，它可以使两类想象运动EEG的协方差之间的差距最大化，便于后期的分类处理。-Common spatial pattern model of public space filtering is a method of EEG signal processing, it can make two types of movement EEG covariance imagine the gap between the
PhaSpaRecon
- 应用多变量相空间重构对分析脑电信号Multivariate analysis of the phase space reconstruction of the EEG-Multivariate analysis of the phase space reconstruction of the EEGMultivariate analysis of the phase space reconstruction of the EEG
EdF-read
- 快速定点独立分量分析算法编码能有效提取心电或脑电信号-Fast fixed-point independent component analysis algorithm can effectively extract the encoded ECG or EEG
Feature-Extraction--in-Brain--
- 在线脑机接口中脑电信号的 特征提取与分类方法-Feature Extraction Classification of in Brain Computer .pdf
neural_network
- 该程序是用小波函数构建神经网络的源程序。可用于分析心电信号、脑电信号等等。-Neural network structed by wavelet function
EEG-hard-threshold--soft-threshold
- 脑电信号的硬阈值和软阈值去噪算法，是对脑电信号消噪的基本消噪能够成功取得脑电消噪的目的，为脑电信号的特征提取做好充分准备-EEG hard threshold and soft thresholding algorithm is the basic noise cancellation EEG de-noising can successfully achieve the purpose of de-noising EEG, EEG feature extraction is fully pre
Garrote-thresholding
- Garrote阈值对脑电信号去噪,能有效消除白噪声干扰,提取有用的脑电信号-Garrote threshold for EEG de-noising, can effectively eliminate white noise, extract useful EEG
filter
- 巴特沃斯滤波器对脑电信号进行滤波，分别对低通、中通、高通滤波器进行设计，此文件是源码和脑电数据。-Butterworth filter for filtering EEG signals were low-pass, pass, high-pass filter design, this file is the source and EEG data.
24940822CSP共空间模式(m_function)
- 用于将采集到的脑电信号进行特征提取，或者是用来滤波。(It is used to extract the electrical signals collected, or to filter them.)
基于方差和深度学习的脑电信号分类算法
- 从深度学习方面解析脑电信号，通过方差计算脑电特征(Analysis of EEG signals from deep learning and calculation of EEG characteristics by variance.)
脑电数据PCA处理及SVM分类
- 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)
脑电信号数据集
- 里面有一种脑电信号数据集，且分为训练集和测试集，格式为mat格式，可以直接用来Matlab的使用。