JingweiToo / EEG-Feature-Extraction-Toolbox
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.
☆74Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for EEG-Feature-Extraction-Toolbox
- Implementation of EEG signal classification.☆48Updated 8 years ago
- 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☆11Updated last year
- Feature extraction for EEG signals☆27Updated 4 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 2 years ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆28Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆58Updated 3 months ago
- An EEG dichotomy program file , using CSP and SVM.☆22Updated 4 years ago
- ☆60Updated last year
- Classification algorithm based on motor imagery brain-computer interface☆31Updated 5 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆120Updated last year
- Feature Extraction of Mental Load EEG signals☆54Updated 8 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆86Updated last year
- ☆43Updated 5 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆50Updated 3 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆28Updated 11 months ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆62Updated 3 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…☆41Updated 5 years ago
- Deep learning model for EEG artifact removal☆59Updated 2 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
- PyTorch EEG emotion analysis using DEAP dataset☆74Updated 6 years ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆36Updated 5 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- ☆35Updated 5 years ago
- Process and analyse EEG brain signals using EEGlab☆24Updated 6 years ago
- code for LMDA☆66Updated last year
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 6 years ago
- A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO☆7Updated 2 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆44Updated 3 years ago