secondlevel / EEG-classificationLinks
It is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You can get some detailed introduction and experimental results in the link below. https://github.com/secondlevel/EEG-classification/blob/main/Experiment%20Report.pdf
☆16Updated 3 years ago
Alternatives and similar repositories for EEG-classification
Users that are interested in EEG-classification are comparing it to the libraries listed below
Sorting:
- 硕士期间课题研究记录☆17Updated 2 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- Anomaly prediction using brain signals with Fourier transformed features and SVM classifier.☆18Updated 2 years ago
- 脑电情绪识别☆13Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆108Updated 2 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆57Updated 2 years ago
- Feature selection for DEAP data☆8Updated 3 years ago
- Emotion recognition base on EEG.☆16Updated 2 years ago
- Statistical comparison study of valence-arousal classifiers from EEG signals on DEAP and MANHOB datasets☆11Updated 2 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆16Updated last year
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆31Updated 2 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆19Updated 2 years ago
- ☆13Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆56Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆75Updated 3 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Updated 4 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆86Updated 7 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆60Updated last year
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- ☆32Updated 2 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆176Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆34Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated 2 years ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆40Updated 5 years ago
- A CNN + LSTM architecture to predict seizure from EEG data☆46Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆73Updated 3 years ago
- 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☆28Updated 2 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 Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆22Updated 4 years ago