MousaviSajad / SleepEEGNetLinks
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
☆264Updated 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☆182Updated last year
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG☆472Updated 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…☆165Updated 2 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆265Updated 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…☆228Updated 2 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆238Updated last year
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆356Updated 6 years ago
- ☆108Updated 6 years ago
- ☆133Updated 3 years ago
- SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging☆108Updated 2 years ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆95Updated 3 years ago
- Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"☆63Updated 8 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆93Updated 8 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
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆144Updated 2 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆95Updated 7 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆332Updated 2 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
- CNN classifier to classify MI-EEG signals☆50Updated 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
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆280Updated 3 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
- Motor Imagery Classification based on EEG at Columbia Medical Center☆48Updated 5 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆194Updated 8 months 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
- 1D Convolutional Neural Networks for P300 detection from EEG signals☆90Updated 2 years ago
- Generate statistical features from Electroencephalographic data☆95Updated 3 years ago
- Feature Extraction of Mental Load EEG signals☆60Updated 9 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆69Updated 5 years ago