EdgarMoyete / Deep-Learning-BCI-IV-2a
Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores
☆55Updated 4 years ago
Alternatives and similar repositories for Deep-Learning-BCI-IV-2a:
Users that are interested in Deep-Learning-BCI-IV-2a are comparing it to the libraries listed below
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆20Updated 11 months ago
- code for LMDA☆79Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆69Updated 4 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☆24Updated 2 years ago
- BCI Competition IV dataset 2a☆27Updated 5 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆43Updated last year
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆14Updated last year
- ☆13Updated 3 years ago
- A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO☆7Updated 2 years ago
- An EEG dichotomy program file , using CSP and SVM.☆23Updated 4 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆33Updated 2 years ago
- ☆29Updated 8 months ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆19Updated 4 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
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆69Updated 8 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆52Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- ☆33Updated 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 …☆18Updated 2 years ago
- ☆22Updated last year
- ☆13Updated 2 years ago