IoBT-VISTEC / Decoding-EEG-during-AO-MI-MELinks
The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)
☆40Updated last year
Alternatives and similar repositories for Decoding-EEG-during-AO-MI-ME
Users that are interested in Decoding-EEG-during-AO-MI-ME are comparing it to the libraries listed below
Sorting:
- ☆45Updated 6 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆68Updated 5 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆90Updated 3 years ago
- Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain…☆70Updated 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
- EEG motor imagery classification using convolutional neural networks☆41Updated 2 years ago
- This repository save my work about GAN applied to motor imagery eeg signals☆39Updated 4 months ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆46Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆79Updated last month
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆98Updated 2 years ago
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆150Updated 4 months ago
- BCI Competition IV dataset 2a☆31Updated 6 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆48Updated 2 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆48Updated 5 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆235Updated last year
- Implementation of EEG signal classification.☆52Updated 9 years ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆26Updated 3 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆81Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆49Updated last year
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆142Updated 2 years ago
- ☆69Updated 6 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆74Updated last year
- EEG Motor Imagery with Deep Learning☆13Updated 3 years ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Updated 4 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆66Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- Pytorch implementation of EEGNet.☆49Updated 3 years ago
- Matlab codes for the Online SSVEP-based BCI using Riemannian Geometry algorithm☆53Updated 7 years ago
- Deep Learning pipeline for motor-imagery classification.☆62Updated 3 years ago