Ildaron / 3.eeg_recognation
Machine learning for Anonymous detection of an alcoholic by EEG signals
☆28Updated 3 years ago
Related projects: ⓘ
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆39Updated last year
- 1D Convolutional Neural Networks for P300 detection from EEG signals☆82Updated last year
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆27Updated 3 years ago
- Official Repository of 'Transfer learning of an ensemble of DNNs for SSVEP BCI spellers without user-specific training'☆21Updated 11 months ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆35Updated 3 years ago
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆49Updated 4 years ago
- MNE-Features software for extracting features from multivariate time series☆139Updated last month
- This repository contains the code for emotion recognition using wavelet transform and svm classifiers' rbf kernel.☆32Updated last year
- EEG Signal Processing - Entropy☆16Updated 4 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆62Updated 3 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆80Updated last year
- EEG Features to be extract from raw data.☆26Updated 7 years ago
- ☆14Updated 3 years ago
- Deep learning model for EEG artifact removal☆56Updated 2 years ago
- Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EE…☆18Updated 2 years ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆35Updated 4 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆57Updated last month
- Generate statistical features from Electroencephalographic data☆82Updated 2 years ago
- Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.☆99Updated 4 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆26Updated 4 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆112Updated 9 months ago
- This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG …☆47Updated last year
- Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.☆20Updated 2 years ago
- Python code for mental state recognition from EEG observations using CNN and RNN networks.☆34Updated 8 years ago
- A general matlab framework for EEG data classification☆47Updated 7 years ago
- Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification☆20Updated last year
- CNN classifier to classify MI-EEG signals☆46Updated 4 years ago
- Hands-on tutorial on deep learning for EEG classification.☆63Updated 4 months ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆26Updated 2 years ago
- Using DCGAN, WGAN & WGAN-GP in Augmentation of EEG data for BCIs☆9Updated 2 years ago