MatthewK3023 / EEG-ClassificationLinks
Implement simple EEG classification models which are EEGNet, DeepConvNet with BCI competition dataset
☆18Updated 5 years ago
Alternatives and similar repositories for EEG-Classification
Users that are interested in EEG-Classification are comparing it to the libraries listed below
Sorting:
- 在 SEED 数据集上做 EEG 情绪识别☆120Updated 5 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆44Updated 6 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆137Updated 4 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆90Updated 3 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆83Updated 4 years ago
- Pytorch implementation of EEGNet.☆49Updated 3 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆83Updated 5 years ago
- EEG-based emotion classification using DEAP dataset☆155Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- Feature extraction for EEG signals☆29Updated 5 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 3 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆92Updated 8 years ago
- ☆36Updated 6 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 5 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆142Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 4 years ago
- ☆86Updated 4 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆97Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆98Updated 2 years ago
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆59Updated 3 years ago
- EEG Emotion classification using the DEAP pre-processed data☆163Updated 7 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆115Updated 2 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆295Updated last week
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆75Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆57Updated 3 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆87Updated 3 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆39Updated 2 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Updated 5 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆38Updated 4 months ago