LianghuiGuo / TA-STS-ConvNet
Codes for our paper "Triple-Attention-based Spatio-Temporal-Spectral Convolutional Network for Epileptic Seizure Prediction "
☆16Updated 2 years ago
Alternatives and similar repositories for TA-STS-ConvNet:
Users that are interested in TA-STS-ConvNet are comparing it to the libraries listed below
- Implementation of the ST-GAT (Spatio-Temporal Graph Attention Network) for the detection and analysis of neonatal seizures using EEG, as …☆9Updated last year
- Different methods(STFT, CWT) transform EEG signal into image visualization☆12Updated 4 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
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆12Updated 3 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆27Updated 3 months ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆67Updated 2 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☆38Updated 3 years ago
- ☆19Updated last month
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆73Updated last year
- ☆12Updated last year
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆16Updated 2 years ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆25Updated last year
- code for LMDA☆70Updated last year
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆48Updated 2 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆18Updated 3 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆94Updated last year
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated last year
- Matlab code for SBLEST algorithm☆39Updated 10 months ago
- ☆14Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆28Updated last year
- 运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆24Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆59Updated last month
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of dr…☆11Updated last year
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆31Updated 3 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆51Updated 3 years ago
- ☆16Updated last year
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Updated 4 years ago
- This repository contains the trained deep learning models for the detection and prediction of Epileptic seizures.☆20Updated 3 years ago