JingweiToo / EEG-Feature-Extraction-Toolbox
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.
☆86Updated 4 years ago
Alternatives and similar repositories for EEG-Feature-Extraction-Toolbox:
Users that are interested in EEG-Feature-Extraction-Toolbox are comparing it to the libraries listed below
- Implementation of EEG signal classification.☆50Updated 8 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆37Updated last year
- A general matlab framework for EEG data classification☆48Updated 7 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- ☆66Updated 3 years ago
- ☆60Updated 2 years ago
- An EEG dichotomy program file , using CSP and SVM.☆23Updated 4 years ago
- CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of…☆42Updated 6 years ago
- 基于一个公开数据集和一个BCI竞赛数据集，提供一个SVM-CSP运动想象二分类demo☆11Updated 3 years ago
- 基于小波变换和卷积神经网络的脑电运动成像信号分类☆44Updated 4 years ago
- Feature extraction for EEG signals☆28Updated 5 years ago
- Process and analyse EEG brain signals using EEGlab☆24Updated 6 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆54Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆125Updated last year
- Deep learning model for EEG artifact removal☆67Updated 2 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆104Updated 5 years ago
- Classification algorithm based on motor imagery brain-computer interface☆32Updated 5 years ago
- Feature Extraction of Mental Load EEG signals☆56Updated 8 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- ☆43Updated 6 years ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆30Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆69Updated 8 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years ago
- EEG Signal Processing - Entropy☆18Updated 5 years ago
- Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain…☆70Updated 2 years ago
- code for LMDA☆79Updated last year
- This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG …☆50Updated 2 years ago
- Matlab code for proccesing EEG signals.☆80Updated 6 years ago