Ildaron / 3.eeg_recognation
Machine learning for Anonymous detection of an alcoholic by EEG signals
☆28Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for 3.eeg_recognation
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆46Updated 2 years ago
- Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification☆20Updated last year
- ☆16Updated 3 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆31Updated 2 years ago
- Deep learning model for EEG artifact removal☆59Updated 2 years ago
- ☆21Updated this week
- Seizure Event Detection using minimum electrodes☆8Updated 11 months ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆74Updated 3 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆47Updated 3 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆81Updated last year
- Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.☆21Updated 2 years ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆29Updated 2 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆27Updated 4 years ago
- Transfer learning for sleep stage detection☆28Updated 3 years ago
- This repository contains the code for emotion recognition using wavelet transform and svm classifiers' rbf kernel.☆32Updated last year
- Deep learning-based prediction of sleep stages using wearable accelerometry and photoplethysmography☆25Updated 5 months ago
- This repository contains the code for classification of EEG Signals using P300 Speller Based BCI☆10Updated last year
- Generate statistical features from Electroencephalographic data☆85Updated 2 years ago
- Analysis of Transformer attention in EEG signal classification☆42Updated 2 months ago
- Official Repository of 'Transfer learning of an ensemble of DNNs for SSVEP BCI spellers without user-specific training'☆22Updated last year
- Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification☆39Updated 11 months ago
- Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EE…☆18Updated 2 years ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆23Updated 10 months ago
- EEG motor-imagery data analysis using MNE and Pytorch☆31Updated 3 years ago
- PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interface☆13Updated 3 years ago
- In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…☆25Updated 2 years ago
- This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG …☆48Updated last year
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆28Updated 4 years ago
- EEG Signal Processing - Entropy☆16Updated 4 years ago
- Using DCGAN, WGAN & WGAN-GP in Augmentation of EEG data for BCIs☆13Updated 2 years ago