搜索资源列表
Fisher
- 用MATLAB做的Fisher线性分类器，处理脑电信号，数据为bci竞赛数据-MATLAB to do with Fisher linear classifier, EEG signal processing, data race data for the bci
EC_project
- Matlab source for blind classification of EEG data (BCI competition II data set IV)
tvcontrolerbaseongame
- 基于脑电Alpha波的BCI电视遥控系统的设计与实验研究-BCI based on EEG Alpha Wave TV Remote Control System Design and Experimental Research
EEG-data-analysis-for-BCI
- document for code of brain compture interface with EEG Signal
bci-labview
- this about the brain computer interface using labview.the eeg signals are simulated and viewed here there by comuniating human brain to the computer
cspnum1
- csp算法，异步脑机接口特征值提取。脑－机接口(brain-computer interface，BCI)技 术提供了一种非肌肉控制的通讯通道，使大脑可以直接和外部环境进行信息交 互。脑－机接口将人脑的信号直接转换成对外部设备的控制命令，信息的传递 不再需要经过外周神经和肌肉等传出通道[1-In motor imagery-based Brain Computer Interfaces (BCI), discriminative patterns can be extracted
higher-order-staistics
- Classifying mental tasks based on features of highe order statistics from EEG signals in bci
fenleiqi23
- 这个程序是在matlab2013b软件上运行成功，有需要的可以下载下来参考下，程序的内容为用MATLAB做的Fisher线性分类器，处理脑电信号，数据为bci竞赛数据-This program is run on matlab2013b software successfully, there is need to download the reference, the contents of the program is done using MATLAB Fisher linear clas
Optimizing-Spatial-Filters-for-Robust-EEG-Single-
- ue to the volume conduction multichannel electroencephalogram (EEG) recordings give a rather blurred image of brain activity. Therefore spatial filters are extremely useful in single-trial analysis in order to improve the signal-to-noise ratio.
MainAlgoTestRevision
- all BCi chain. the award paper . EEG signal
biosig4octmat-2.93
- EEG数据下载和运动想象分类,可作为一个很好用的工具箱来分析生物医学信号。-EEG data,including motor image classfication be very useful for BCI.It can be a toolbox to analyse ECG and EEG data,includeing filtering.
decompose
- 用于分解提取BCI竞赛数据集，将四类想象运动的有效EEG信号分别提取到四个矩阵中。-BCI competition for decomposition to extract data sets, four types of effective motor imagery EEG signals were extracted to four matrix.
EEGLAB-guidance-of-Chinese
- BCI,做脑电地形图eeglab的详细指导文件-BCI, eeglab detailed guidance of EEG
NFEA
- 张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature Extraction and Applications- Data in modern applications such as BCI based on EEG signals often contain multi-modes due to mechanism of data recording, e.g. signals recorded by multiple-sensors (elec
eegsmart_umind_sdk(android).pdf
- 国内企业云睿智能产品脑电信号收集器UMind的SDK使用说明(manual for using SDK provided by EEGSMART for UMind)
eeg processing progr
- BCI的2003年竞赛数据,p300的全部竞赛数据!(BCI's 2003 competition data, P300's all contest data!)
BCI_MI_CSP_DNN
- BCI_MI_CSP_DNN是一种基于matlab的运动图像脑电信号分类程序。 基于matlab深度学习工具箱编写了BCI_MI_CSP_DNN程序 本程序的原理基于CSP和DNN算法 这个程序的性能是基于BCI竞赛II数据集II 提出了一种基于深度学习的运动图像脑电信号分类方法。在预处理原始脑电图信号的基础上，采用共空间模型(CSP)方法提取脑电图特征矩阵，并将其输入深度神经网络(DNN)进行训练和分类。我们的工作在BCI Competition II Dataset III上进行了实