MousaviSajad / SleepEEGNetLinks
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
☆251Updated 3 years ago
Alternatives and similar repositories for SleepEEGNet
Users that are interested in SleepEEGNet are comparing it to the libraries listed below
Sorting:
- EEG Sleep stage classification using CNN with Keras☆171Updated last year
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG☆440Updated 11 months ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆151Updated last year
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆224Updated last year
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆237Updated last year
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆302Updated 2 years ago
- SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging☆104Updated last year
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆320Updated 5 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆130Updated last year
- ☆130Updated 2 years ago
- Feature Extraction of Mental Load EEG signals☆59Updated 8 years ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆87Updated 2 years ago
- Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"☆60Updated 7 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆265Updated 3 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 last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆163Updated 5 years ago
- Hands-on tutorial on deep learning for EEG classification.☆78Updated last year
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆84Updated 7 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆156Updated 5 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆92Updated 2 years ago
- CNN classifier to classify MI-EEG signals☆49Updated 5 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆179Updated last month
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆276Updated 2 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 7 years ago
- ☆82Updated 3 years ago
- This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.☆215Updated 7 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆174Updated 2 years ago
- 1D Convolutional Neural Networks for P300 detection from EEG signals☆88Updated 2 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆170Updated 6 years ago