KnightofDawn / EEG-Classification-Using-Recurrent-Neural-NetworkLinks
Used LSTM Network to classify eeg signals based on stimuli the subject recieved (visual or audio)
☆17Updated 8 years ago
Alternatives and similar repositories for EEG-Classification-Using-Recurrent-Neural-Network
Users that are interested in EEG-Classification-Using-Recurrent-Neural-Network are comparing it to the libraries listed below
Sorting:
- An EEG dichotomy program file , using CSP and SVM.☆27Updated 5 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆51Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Updated 5 years ago
- Hands-on tutorial on deep learning for EEG classification.☆86Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆50Updated 2 years ago
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆32Updated 6 months ago
- A CNN + LSTM architecture to predict seizure from EEG data☆49Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆316Updated 2 months ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆92Updated 5 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆331Updated 2 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 3 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆161Updated 2 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆114Updated 6 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆145Updated 2 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆23Updated 7 months ago
- DDGCNN for ssvep☆15Updated 2 years ago
- EEG Sleep stage classification using CNN with Keras☆183Updated last year
- Sleep stage detection using ECG☆138Updated 2 weeks ago
- Evaluation of Neural Networks for Classifying Electroencephalography (EEG) Data☆11Updated 3 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆85Updated last year
- ☆74Updated 3 years ago
- 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）☆35Updated 3 years ago
- Deep learning model for EEG artifact removal☆81Updated 3 years ago
- code for LMDA☆87Updated 2 years ago
- Matlab code of our IEEE TASE paper "Wong, C. M., Wang, Z., Rosa, A. C., Chen, C. P., Jung, T. P., Hu, Y., & Wan, F. (2021). Transferring …☆20Updated 2 years ago
- Epileptic Seizure Detection on EEG Data based on CHB-MIT database.☆22Updated last year
- Pytorch implementation of EEGNet.☆52Updated 3 years ago
- A general matlab framework for EEG data classification☆51Updated 8 years ago
- Code for BHI 2023 Paper on EEG Seizure Detection☆27Updated 2 years ago