LianghuiGuo / TA-STS-ConvNet
Codes for our paper "Triple-Attention-based Spatio-Temporal-Spectral Convolutional Network for Epileptic Seizure Prediction "
☆13Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for TA-STS-ConvNet
- The model for the paper “Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patien…☆17Updated 3 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
- This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of dr…☆10Updated last year
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆9Updated 2 years ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆23Updated 10 months ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆16Updated last year
- ☆11Updated 3 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆47Updated 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…☆16Updated last year
- SOTA methods for performing emotion classification using Transformers.☆20Updated 2 years ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆11Updated 3 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆46Updated 2 years ago
- Python implementation of Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis☆36Updated last year
- This is a community implementation of EEG-ConvTransformer☆17Updated last year
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 3 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Updated 4 years ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆64Updated 2 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆18Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated last year
- ☆17Updated 4 months ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆25Updated last month
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆26Updated last year
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆29Updated 6 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆69Updated last year
- Attention-Based Temporal Learner With Dynamical Graph Neural Network for EEG Emotion Recognition. [DEAP]&&[MEEG]☆25Updated this week
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆58Updated 7 months ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆26Updated 6 months ago
- ☆15Updated last year
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Updated 3 years ago