theyou21 / BigProjectLinks
EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models
☆39Updated 5 years ago
Alternatives and similar repositories for BigProject
Users that are interested in BigProject are comparing it to the libraries listed below
Sorting:
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- A CNN + LSTM architecture to predict seizure from EEG data☆46Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆34Updated last year
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆80Updated 4 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆57Updated 2 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆22Updated 4 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 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
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆85Updated 5 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆130Updated last year
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆15Updated last year
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆46Updated 5 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…☆51Updated 2 years ago
- 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☆73Updated 3 years ago
- Developed an best EEG Channel Selection Model Using Technique like MIMR☆10Updated 3 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated 2 years ago
- BCI Competition IV dataset 2a☆27Updated 6 years ago
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆57Updated 2 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆22Updated 4 years ago
- Feature selection for DEAP data☆8Updated 3 years ago
- Feature extraction for EEG signals☆28Updated 5 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆84Updated 7 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆43Updated last year
- EEG emotion recognition based on Temporal convolutional network☆24Updated 6 years ago
- An EEG dichotomy program file , using CSP and SVM.☆24Updated 5 years ago
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆28Updated last year