IoBT-VISTEC / Pre-trained-EEG-for-Deep-LearningLinks
Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)
☆45Updated 6 years ago
Alternatives and similar repositories for Pre-trained-EEG-for-Deep-Learning
Users that are interested in Pre-trained-EEG-for-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆42Updated 4 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆97Updated 5 months ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆64Updated 3 years ago
- Deep Learning EEG Playground☆75Updated last year
- A library with tools for EEG analysis☆67Updated last week
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆114Updated 2 years ago
- ☆108Updated 6 years ago
- EEG Features to be extract from raw data.☆27Updated 8 years ago
- Hands-on tutorial on deep learning for EEG classification.☆85Updated last year
- This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.☆36Updated 5 months ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆40Updated 3 years ago
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆259Updated 4 years ago
- EEG Emotion Datasets (INTERFACES) from OpenBCI (IEEE Sensors Journal)☆28Updated 5 years ago
- Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.☆108Updated 5 years ago
- A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes pl…☆170Updated 3 years ago
- Python + EEG/MEG = PyEEG☆258Updated last year
- EEG Sleep stage classification using CNN with Keras☆179Updated last year
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆41Updated 2 years ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆34Updated 4 years ago
- A convolutional neural network developed in python using the Keras machine learning framework used to categorize brain signal based on wh…☆23Updated 7 years ago
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆51Updated 5 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆279Updated 2 years ago
- PyTorch implementation of TSception☆82Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆95Updated 7 years ago
- This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.☆219Updated 8 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆182Updated 6 years ago
- Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"☆63Updated 8 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆130Updated 5 years ago
- Transfer learning for sleep stage detection☆34Updated 4 years ago