akaraspt / tinysleepnet
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
☆144Updated last year
Alternatives and similar repositories for tinysleepnet
Users that are interested in tinysleepnet are comparing it to the libraries listed below
Sorting:
- SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging☆102Updated last year
- A list of papers for sleep stages classification using machine learning/deep learning.☆84Updated 2 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆229Updated last year
- EEG Sleep stage classification using CNN with Keras☆169Updated 11 months ago
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆244Updated 3 years ago
- Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"☆59Updated 7 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆30Updated 4 years ago
- ☆26Updated last year
- 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
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆40Updated 4 years ago
- Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"☆83Updated last month
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆71Updated 9 months ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆62Updated 5 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 5 months ago
- Hands-on tutorial on deep learning for EEG classification.☆74Updated last year
- Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EE…☆20Updated 3 years ago
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG☆433Updated 10 months ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆50Updated last year
- 基于单通道脑电信号的自动睡眠分期研究（Automatic Sleep Staging Based on EEG Signal using Deep Network）☆31Updated 2 years ago
- Transfer learning for sleep stage detection☆30Updated 3 years ago
- This is an official implementation for "SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning", Expert Systems …☆63Updated last month
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆129Updated last year
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆30Updated 4 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆65Updated 9 months ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆220Updated 11 months ago
- Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification☆40Updated last year
- Tutorial for data processing for hybrid BCI☆38Updated 7 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 5 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆101Updated 2 years ago
- ☆53Updated last year