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
☆152Updated last year
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"☆238Updated last year
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆254Updated 3 years ago
- EEG Sleep stage classification using CNN with Keras☆174Updated last year
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I …☆65Updated 2 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆225Updated last year
- A list of papers for sleep stages classification using machine learning/deep learning.☆91Updated 2 years ago
- Analysis of Transformer attention in EEG signal classification☆44Updated 10 months ago
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG☆443Updated last year
- SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging☆104Updated last year
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆106Updated 2 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆303Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆131Updated last year
- Hands-on tutorial on deep learning for EEG classification.☆77Updated last year
- Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"☆60Updated 7 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆45Updated 7 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆57Updated 2 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆164Updated 5 years ago
- ☆108Updated 6 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆179Updated 2 months ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆200Updated 2 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆76Updated 3 weeks ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆30Updated 4 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆64Updated 5 years ago
- Transfer learning for sleep stage detection☆31Updated 3 years ago
- Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"☆87Updated 3 months ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆268Updated 3 months ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆52Updated 2 years ago
- Deep learning model for EEG artifact removal☆74Updated 3 years ago