dalinzhangzdl / BCI_MI_Wavelet_CNN
Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network
☆104Updated 5 years ago
Alternatives and similar repositories for BCI_MI_Wavelet_CNN:
Users that are interested in BCI_MI_Wavelet_CNN are comparing it to the libraries listed below
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 2 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆78Updated 6 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
- A CNN + LSTM architecture to predict seizure from EEG data☆42Updated last year
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆38Updated 5 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- Feature extraction for EEG signals☆28Updated 5 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆12Updated last year
- BCI Competition IV dataset 2a☆26Updated 5 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆52Updated 3 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆155Updated 4 years ago
- Classification algorithm based on motor imagery brain-computer interface☆32Updated 5 years ago
- CNN classifier to classify MI-EEG signals☆48Updated 5 years ago
- CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of…☆41Updated 6 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆65Updated 3 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆89Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆68Updated 3 years ago
- Implementation of EEG signal classification.☆49Updated 8 years ago
- CNN and RNN based architectures for Motor Imagery Classification☆15Updated 5 years ago
- Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain…☆69Updated last year
- EEG motor imagery classification using convolutional neural networks☆35Updated last year
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆76Updated 4 years ago
- ☆65Updated 6 years ago
- An EEG dichotomy program file , using CSP and SVM.☆23Updated 4 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆37Updated 4 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆52Updated last year
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆83Updated 4 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆29Updated last year
- ☆43Updated 5 years ago