ambitious-octopus / MI-EEG-1D-CNNLinks
A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430
☆175Updated 3 years ago
Alternatives and similar repositories for MI-EEG-1D-CNN
Users that are interested in MI-EEG-1D-CNN are comparing it to the libraries listed below
Sorting:
- 1D Convolutional Neural Networks for P300 detection from EEG signals☆90Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆112Updated 6 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆172Updated 5 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆101Updated 7 months ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆237Updated last year
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆65Updated 3 years ago
- Analysis of Transformer attention in EEG signal classification☆48Updated last year
- EEG Sleep stage classification using CNN with Keras☆182Updated last year
- EEG motor imagery classification using convolutional neural networks☆43Updated 2 years ago
- Official Repository of 'A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces'☆79Updated 2 years ago
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆55Updated 5 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆144Updated 2 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆92Updated 5 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆51Updated last year
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆331Updated 2 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆194Updated 8 months ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆165Updated 2 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆226Updated 2 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆264Updated 2 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆91Updated 3 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Updated 2 years ago
- Deep learning model for EEG artifact removal☆79Updated 3 years ago
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆42Updated 2 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆93Updated 8 years ago
- CNN classifier to classify MI-EEG signals☆50Updated 6 years ago
- ☆108Updated 6 years ago
- This repository contains the code for emotion recognition using wavelet transform and svm classifiers' rbf kernel.☆35Updated 2 years ago
- ☆133Updated 3 years ago
- ☆88Updated 4 years ago