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
☆174Updated 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:
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆64Updated 3 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆99Updated 6 months 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
- 1D Convolutional Neural Networks for P300 detection from EEG signals☆90Updated 2 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆111Updated 6 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆49Updated last year
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆326Updated 2 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆259Updated 2 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆163Updated 2 years ago
- Generate statistical features from Electroencephalographic data☆95Updated 3 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆236Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆143Updated 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)…☆53Updated 5 years ago
- ☆87Updated 4 years ago
- Analysis of Transformer attention in EEG signal classification☆47Updated last year
- 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
- EEG motor imagery classification using convolutional neural networks☆42Updated 2 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆190Updated 7 months ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 5 months ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆161Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆99Updated 2 years ago
- EEG Sleep stage classification using CNN with Keras☆179Updated last year
- EEG-based emotion classification using DEAP dataset☆155Updated 2 years ago
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆41Updated 2 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆91Updated 4 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 …☆153Updated 4 months ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆91Updated 3 years ago
- This repository contains the code for emotion recognition using wavelet transform and svm classifiers' rbf kernel.☆35Updated 2 years ago
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆261Updated 4 years ago