secondlevel / EEG-classification
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
☆14Updated 2 years ago
Alternatives and similar repositories for EEG-classification:
Users that are interested in EEG-classification are comparing it to the libraries listed below
- Emotion recognition base on EEG.☆16Updated last year
- 硕士期间课题研究记录☆16Updated 2 years ago
- 脑电情绪识别☆13Updated 2 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆30Updated last year
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆14Updated last year
- Feature selection for DEAP data☆8Updated 2 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated last year
- Public Models considered for emotion estimation from EEG☆34Updated 2 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☆23Updated 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
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆29Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆69Updated 3 years ago
- ☆12Updated 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)☆30Updated 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 …☆17Updated 2 years ago
- ☆30Updated last year
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆22Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆48Updated 3 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Updated 4 years ago
- ☆36Updated 5 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆50Updated 2 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆77Updated 4 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆14Updated last year
- ☆18Updated 4 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- Emotion Recognition Transformer Network Based EEG Signals.☆17Updated last year
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Updated 4 years ago
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆47Updated 2 years ago