dougkoch / chb-mit
Machine learning on the CHB-MIT scalp EEG database
☆27Updated 2 years ago
Related projects: ⓘ
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆22Updated last year
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆32Updated 11 months ago
- ☆22Updated 3 months ago
- ☆23Updated last month
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 3 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆38Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆59Updated 3 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆36Updated 4 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆14Updated last year
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆18Updated 3 years ago
- BCI Competition IV dataset 2a☆26Updated 5 years ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆36Updated 2 years ago
- ☆39Updated last year
- ☆17Updated last year
- ☆32Updated this week
- code for LMDA☆58Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆41Updated 3 years ago
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆22Updated 3 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆48Updated 3 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆57Updated 2 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆37Updated 4 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆36Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆31Updated last year
- 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
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆56Updated 2 years ago
- Python implemementation of the FBCSP algorithm☆32Updated 3 months ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆79Updated 2 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆18Updated 4 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆48Updated 3 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆78Updated last year