eason123789 / Transformer-for-Single-Channel-EEGLinks
This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of driver drowsiness recognition.
☆12Updated 2 years ago
Alternatives and similar repositories for Transformer-for-Single-Channel-EEG
Users that are interested in Transformer-for-Single-Channel-EEG are comparing it to the libraries listed below
Sorting:
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 4 years ago
- 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)☆34Updated 2 years ago
- Emotion-Classification-by-EEG-DEAP-Dataset implemented in 2DCNNN-LSTM-1DCNN+GRU and the 1D_cnn+gru model gives the highest accuracy☆11Updated 2 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆59Updated 2 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆44Updated 11 months ago
- Emotion recognition base on EEG.☆19Updated 2 years ago
- A CNN + LSTM architecture to predict seizure from EEG data☆49Updated 2 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆39Updated last year
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Updated 5 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 3 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆17Updated last year
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆15Updated 5 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆75Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆38Updated 4 months ago
- Epileptic Seizure Detection on EEG Data based on CHB-MIT database.☆21Updated last year
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- Official code on "Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition", Pattern Recognition 2022.☆15Updated 3 years ago
- IEEE Transactions on Affective Computing, 2025☆22Updated 6 months ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆66Updated 2 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆41Updated 5 years ago
- Multi-modal Physiological Signals based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging☆22Updated 10 months ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆138Updated 4 years ago
- ☆32Updated 2 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆57Updated 3 years ago
- Codes for the paper 'Automatic sleep staging by a hybrid model based on deep 1D-ResNet-SE and LSTM with single-channel raw EEG signals' h…☆26Updated 2 years ago
- ☆13Updated 2 years ago
- Emotion classification from Brain EEG signals using a hybrid CNN-Transformer model and various ML algorithms.☆30Updated 2 years ago
- ☆21Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆72Updated last year