ambitious-octopus / MI-EEG-1D-CNN
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
☆162Updated 2 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
- 1D Convolutional Neural Networks for P300 detection from EEG signals☆85Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆100Updated 5 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆50Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆38Updated 5 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆104Updated 5 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆157Updated 4 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆83Updated 4 years ago
- ☆75Updated 3 years ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆80Updated 2 years ago
- Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset☆59Updated last year
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆33Updated 2 years ago
- Analysis of Transformer attention in EEG signal classification☆42Updated 6 months ago
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆49Updated 4 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 3 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 8 months ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆169Updated 3 months ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆66Updated 7 months ago
- ☆103Updated 5 years ago
- Generate statistical features from Electroencephalographic data☆87Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- Deep learning model for EEG artifact removal☆67Updated 2 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆217Updated last year
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆65Updated 7 months ago
- This repository contains the code for emotion recognition using wavelet transform and svm classifiers' rbf kernel.☆35Updated 2 years ago
- CNN classifier to classify MI-EEG signals☆48Updated 5 years ago
- ☆128Updated 2 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆214Updated 9 months ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆166Updated 2 years ago