ufvceiec / EEGRAPH
EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.
☆139Updated last year
Alternatives and similar repositories for EEGRAPH:
Users that are interested in EEGRAPH are comparing it to the libraries listed below
- Hands-on tutorial on deep learning for EEG classification.☆70Updated 9 months ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆165Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆36Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆63Updated 6 months ago
- ☆160Updated 2 years ago
- ☆60Updated last year
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆17Updated 3 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆45Updated 3 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆51Updated 3 years ago
- Pytorch implementation of EEGNet.☆44Updated 2 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆65Updated 6 months ago
- Generate statistical features from Electroencephalographic data☆86Updated 2 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆75Updated 4 years ago
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆37Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆89Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆65Updated 3 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆57Updated last year
- PyTorch EEG emotion analysis using DEAP dataset☆79Updated 7 years ago
- EEG-based emotion classification using DEAP dataset☆129Updated last year
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆46Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆41Updated 2 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 2 years ago
- ☆69Updated 3 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆35Updated last year
- Youtube codes☆25Updated last year
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆11Updated 3 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated last year