flower-kyo / Tinysleepnet-pytorch
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG
☆29Updated 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)☆30Updated 2 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆47Updated last year
- Multi-modal Physiological Signals based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging☆16Updated 2 months ago
- ☆16Updated 3 months ago
- ☆18Updated 2 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆12Updated 3 years ago
- ☆14Updated 3 years ago
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆18Updated 4 years ago
- ☆25Updated last year
- code for LMDA☆76Updated last year
- A list of papers for sleep stages classification using machine learning/deep learning.☆80Updated 2 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆31Updated 10 months ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆10Updated 3 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆42Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆36Updated last year
- ☆53Updated last year
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆28Updated 4 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated last year
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆45Updated last year
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆38Updated last year
- ☆32Updated 9 months ago
- This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I …☆64Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆123Updated last year
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆17Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆64Updated last week
- A list of papers for motor imagery using machine learning/deep learning.☆66Updated 4 years ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years ago
- ☆16Updated last year