CNN-for-EEG-classification / CNN-EEG
Applying Convolutional Neural Networks to EEG signal Analysis
☆35Updated 3 years ago
Alternatives and similar repositories for CNN-EEG:
Users that are interested in CNN-EEG are comparing it to the libraries listed below
- Hands-on tutorial on deep learning for EEG classification.☆73Updated 11 months ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆65Updated 9 months ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆68Updated 10 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 5 months ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆34Updated 2 years ago
- Youtube codes☆26Updated last year
- Moved to https://github.com/TNTLFreiburg/braindecode!☆62Updated 4 years ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆39Updated 8 months ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- Material for Pybrain 2020 MNE-Python workshop☆133Updated 4 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆144Updated last year
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆30Updated 4 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆40Updated last year
- EEG-based emotion classification using DEAP dataset☆138Updated 2 years ago
- EEG motor-imagery data analysis using MNE and Pytorch☆32Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆127Updated last year
- PyTorch EEG emotion analysis using DEAP dataset☆83Updated 7 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆61Updated last year
- Generate statistical features from Electroencephalographic data☆90Updated 2 years ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆220Updated 11 months ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆48Updated 3 months ago
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆28Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆160Updated 5 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆71Updated 9 months ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆88Updated 4 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆40Updated last year
- Implementation of EEG signal classification.☆50Updated 8 years ago