lassestahnke / cm2013_sleep_stagingLinks
Project to predict sleep stages based on EEG, ECG, EOG data. Signals are filtered using different methods (Wavelet, Butterworth). The prediction was done using feature extraction in combination with SVM, Shallow NN and CNN.
☆12Updated 3 years ago
Alternatives and similar repositories for cm2013_sleep_staging
Users that are interested in cm2013_sleep_staging are comparing it to the libraries listed below
Sorting:
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 4 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- ☆36Updated 6 years ago
- An EEG dichotomy program file , using CSP and SVM.☆25Updated 5 years ago
- A CNN + LSTM architecture to predict seizure from EEG data☆48Updated 2 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 3 years ago
- LSTM-based neural network system to predict EEG signals☆29Updated 6 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆89Updated 4 years ago
- EEG Sleep stage classification using CNN with Keras☆175Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- Anomaly prediction using brain signals with Fourier transformed features and SVM classifier.☆19Updated 2 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 4 years ago
- ☆44Updated 6 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- EEG motor imagery classification using convolutional neural networks☆37Updated 2 years ago
- Epileptic Seizure Detection on EEG Data based on CHB-MIT database.☆21Updated last year
- Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients☆61Updated 4 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 7 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆43Updated last year
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆25Updated 4 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆19Updated 4 years ago
- Implementation of EEG signal classification.☆52Updated 9 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆76Updated last year
- code for LMDA☆84Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆79Updated 3 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆113Updated 4 years ago