nntrongnghia / eeg-motor-imagery-decodingLinks
EEG Motor Imagery with Deep Learning
☆13Updated 3 years ago
Alternatives and similar repositories for eeg-motor-imagery-decoding
Users that are interested in eeg-motor-imagery-decoding are comparing it to the libraries listed below
Sorting:
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆35Updated 2 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆41Updated last year
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 7 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆69Updated last month
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- code for LMDA☆81Updated last year
- ☆82Updated 3 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆73Updated 10 months ago
- A list of papers for motor imagery using machine learning/deep learning.☆77Updated 4 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
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- ☆20Updated last year
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆19Updated 4 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- A Lightweight and High Performance Neural network for MI-EEG decoding☆26Updated 3 months ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆25Updated last month
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆21Updated last year
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Updated 5 years ago
- ☆13Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated 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
- ☆36Updated last year