MousaviSajad / SleepEEGNetLinks
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
☆265Updated 4 years ago
Alternatives and similar repositories for SleepEEGNet
Users that are interested in SleepEEGNet are comparing it to the libraries listed below
Sorting:
- EEG Sleep stage classification using CNN with Keras☆183Updated last year
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG☆475Updated last year
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆168Updated 2 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆267Updated 2 years ago
- Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"☆63Updated 8 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- ☆108Updated 6 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆238Updated last year
- PyTorch EEG emotion analysis using DEAP dataset☆94Updated 8 years ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆95Updated 3 years ago
- SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging☆108Updated 2 years ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆358Updated 6 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.☆222Updated 8 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆280Updated 3 years ago
- This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I …☆67Updated 3 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆233Updated 2 years 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
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆96Updated 7 years ago
- ☆133Updated 3 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆189Updated 6 years ago
- 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
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆145Updated 2 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆104Updated 7 months ago
- Generate statistical features from Electroencephalographic data☆95Updated 3 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…☆175Updated 3 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 …☆155Updated 6 months ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆43Updated 5 years ago
- This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.☆37Updated 8 months ago
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆19Updated 5 years ago
- CNN classifier to classify MI-EEG signals☆51Updated 6 years ago