akaraspt / tinysleepnetLinks
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively
☆156Updated 2 years ago
Alternatives and similar repositories for tinysleepnet
Users that are interested in tinysleepnet are comparing it to the libraries listed below
Sorting:
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆246Updated 2 years ago
- EEG Sleep stage classification using CNN with Keras☆179Updated last year
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆257Updated 4 years ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆93Updated 3 years ago
- SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging☆106Updated last year
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆42Updated 4 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆103Updated 6 years ago
- This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I …☆66Updated 3 years ago
- Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"☆62Updated 8 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆168Updated 5 years ago
- This is an official implementation for "SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning", Expert Systems …☆74Updated 5 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆112Updated 2 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆30Updated 4 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆58Updated 2 years ago
- Analysis of Transformer attention in EEG signal classification☆45Updated last year
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆62Updated 3 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆184Updated 5 months ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆212Updated 2 years ago
- seizure type classification using TUH dataset☆76Updated 3 weeks ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆316Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆281Updated 2 weeks ago
- Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"☆91Updated 2 months ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆66Updated 5 years ago
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG☆456Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆47Updated 10 months ago
- Hands-on tutorial on deep learning for EEG classification.☆83Updated last year
- Deep learning model for EEG artifact removal☆77Updated 3 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆89Updated 4 years ago
- ☆83Updated 4 years ago