quwei913 / A-Residual-based-Attention-Model-for-EEG-basedSleep-Staging
A Residual based Attention Model for EEG basedSleep Staging
☆11Updated 3 years ago
Alternatives and similar repositories for A-Residual-based-Attention-Model-for-EEG-basedSleep-Staging:
Users that are interested in A-Residual-based-Attention-Model-for-EEG-basedSleep-Staging are comparing it to the libraries listed below
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆48Updated 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
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆33Updated 11 months ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆29Updated 3 years ago
- This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of dr…☆12Updated last year
- ☆19Updated 2 years ago
- Multi-modal Physiological Signals based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging☆18Updated 3 months ago
- Convolutional neural network which uses 30 second single-channel EEG signals to detect apnea events. Kernels are visualised using Fourier…☆21Updated 2 years ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆83Updated 2 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- 2-Channel EEG Sleep Staging Algorithm using CNN-LSTM Architecture☆14Updated 4 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- ☆18Updated 4 months ago
- Emotion recognition base on EEG.☆16Updated last year
- ☆26Updated last year
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆39Updated last year
- Anomaly prediction using brain signals with Fourier transformed features and SVM classifier.☆17Updated 2 years ago
- Official code on "Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition", Pattern Recognition 2022.☆13Updated 2 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 6 months ago
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆53Updated 2 months ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆65Updated 2 years ago
- ☆33Updated 10 months ago
- Analysis of Transformer attention in EEG signal classification☆43Updated 7 months ago
- ☆20Updated last year
- ☆53Updated last year
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- code for LMDA☆79Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆48Updated 3 years ago