KnightofDawn / EEG-Classification-Using-Recurrent-Neural-Network
Used LSTM Network to classify eeg signals based on stimuli the subject recieved (visual or audio)
☆15Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for EEG-Classification-Using-Recurrent-Neural-Network
- ☆35Updated 5 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆11Updated 11 months ago
- An EEG dichotomy program file , using CSP and SVM.☆21Updated 4 years ago
- Feature extraction for EEG signals☆27Updated 4 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 3 years ago
- Implementation of EEG signal classification.☆48Updated 8 years ago
- ☆60Updated 2 years ago
- A CNN + LSTM architecture to predict seizure from EEG data☆43Updated last year
- 基于一个公开数据集和一个BCI竞赛数据集，提供 一个SVM-CSP运动想象二分类demo☆11Updated 3 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- A general matlab framework for EEG data classification☆48Updated 7 years ago
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆16Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆57Updated 3 months ago
- ☆60Updated last year
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆36Updated 5 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆74Updated 3 years ago
- EEG Sleep stage classification using CNN with Keras☆151Updated 4 months ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆25Updated 3 years ago
- ☆41Updated 2 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 2 years ago
- ☆43Updated 5 years ago
- Process and analyse EEG brain signals using EEGlab☆24Updated 6 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆102Updated 5 years ago
- The codes that I implemented during my B.Sc. project.☆20Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆38Updated 3 years ago
- Evaluation of Neural Networks for Classifying Electroencephalography (EEG) Data☆10Updated 2 years ago
- Deep learning model for EEG artifact removal☆58Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆25Updated last year
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆50Updated 3 years ago