flower-kyo / Tinysleepnet-pytorch
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG
☆30Updated 3 years ago
Alternatives and similar repositories for Tinysleepnet-pytorch:
Users that are interested in Tinysleepnet-pytorch are comparing it to the libraries listed below
- 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
- Multi-modal Physiological Signals based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging☆18Updated 3 months ago
- ☆19Updated 2 years ago
- ☆26Updated last year
- ☆18Updated 4 months ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆49Updated last year
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆17Updated 4 years ago
- ☆53Updated last year
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 3 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆34Updated 11 months ago
- ☆16Updated 3 years ago
- ☆38Updated 4 years ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆83Updated 2 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
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆48Updated last year
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆39Updated last year
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆53Updated 2 months ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆28Updated 4 years ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 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
- Code repository for S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models☆18Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆39Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆37Updated last year
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆54Updated last year
- Transfer learning for sleep stage detection☆30Updated 3 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 10 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 5 months ago
- ☆7Updated 3 years ago
- code for LMDA☆79Updated last year