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Intelligent_Brain_computer_interface_involving_EE
- Intelligent Brain Computer Interface
CSP(m_function)
- 在目前以运动想象为基础的脑机接口(Brain-Computer Interfaces, BCI)系统中，共同空间模式(Common Spatial Patterns, CSP)方法作为一种有效的处理方法被广泛使用。本程序实现了基本的CSP算法。-failed to translate
Brain_Computer_Interface_with_matlab
- Brain Computer Interface with matlab
visaulsimulator
- 视觉刺激器，在脑机接口系统中，用来刺激受试者使大脑枕区产生视觉诱发电位，用于系统的输入。-visual simulator is used to evoke the stable state visual evoked potentiol in the brain-computer interface system.
ERSandERD
- 脑-机接口中基于ERS/ERD 的自适应空间滤波算法-Adaptive Spatial Filter Based on ERD/ERS for Brain-Computer Interfaces
BCI_Chap_Rehab_book
- this file about Brain computer interface and its types like p300 detection
BRI_patternhw5
- brain computer interface matlab code
BCI_hw4
- brain computer interface matlab code
BCA_hw4_
- matlab code brain computer analysis
practicalguidetoBCIinterfacing
- It is a practical guide for Brain computer interface
active
- 脑机接口系统中的交互技术Brain computer interface technology in interactive-Brain computer interface technology in interactive
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
human-brain-interface
- s software running on computer, mental activities of human brain may entry a dead loop too. Computer-brain interfaces give computers special channels to detect and interfere to interrupt unwanted thoughts which induce unpleasant intrusive
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
naojijiekou
- 一些关于脑机接口的书籍，适合初学者，都是外国文献的综述-A number of books on brain-computer interface, suitable for beginners, are foreign literature review
waveletentropy
- 脑机接口或其他信号处理方法 小波熵 的使用 源函数-The Wavelet Entropy brain-computer interface or other signal processing methods using the source function
csp-(2)
- csp algorithm for common spatial patterns that can be used to classify brain computer interface data sets.
FinalLDA
- This about Linear Decrement Analysis. You can use it to classify Brain Computer Interface or BCI. inputs are signals and labels.-This is about Linear Decrement Analysis. You can use it to classify Brain Computer Interface or BCI. inputs are signals a
biosig 4 matlab
- BioSig is an open source software library for biomedical signal processing, featuring for example the analysis of biosignals such as the electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromy
BCI_deneme_ANN
- ANN codes for brain computer interface