IoBT-VISTEC / EEGWaveNet
source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Industrial Informatics)
☆45Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for EEGWaveNet
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆120Updated 11 months ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆40Updated 4 months ago
- code for LMDA☆64Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆84Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆38Updated 3 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆33Updated last year
- ☆72Updated 3 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
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆48Updated 4 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆60Updated 3 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆49Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆59Updated 6 months ago
- ☆27Updated 3 months ago
- Analysis of Transformer attention in EEG signal classification☆41Updated 2 months ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆46Updated 3 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆25Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆57Updated 3 months ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆9Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆60Updated 11 months ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆37Updated last year
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆36Updated 5 years ago
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆20Updated 7 months ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆11Updated 11 months ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Updated 4 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆50Updated 3 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆61Updated 3 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆49Updated 3 years ago