jkuypers93 / LSTM-Epileptic-Seizure-RecognitionLinks
Epileptic seizure classification using a deep neural network (LSTM)
☆11Updated 2 years ago
Alternatives and similar repositories for LSTM-Epileptic-Seizure-Recognition
Users that are interested in LSTM-Epileptic-Seizure-Recognition are comparing it to the libraries listed below
Sorting:
- Epileptic Seizure Detection on EEG Data based on CHB-MIT database.☆20Updated last year
- ☆32Updated 4 years ago
- CNN classifier to classify MI-EEG signals☆49Updated 5 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- Emotion recognition from EEG and physiological signals using deep neural networks☆47Updated 7 years ago
- This System Contains The Full Project of Phishing Website Detection with the GUI☆12Updated last year
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆87Updated 5 years ago
- Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of w…☆121Updated 4 years ago
- EEG Sleep stage classification using CNN with Keras☆174Updated last year
- ☆108Updated 6 years ago
- A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets☆166Updated 4 years ago
- ☆109Updated last year
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆173Updated 6 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆93Updated 7 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆225Updated last year
- This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.☆34Updated last month
- Feature Extraction of Mental Load EEG signals☆60Updated 8 years ago
- This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.☆215Updated 7 years ago
- Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral visi…☆37Updated 2 years ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆40Updated 5 years ago
- ☆36Updated 6 years ago
- Realtime emotion recognition from EEG data.☆162Updated 6 years ago
- A library with tools for EEG analysis. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S235…☆17Updated 4 years ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆323Updated 6 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆75Updated 3 years ago
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆254Updated 3 years ago
- Alzheimer’s Disease (AD) is the most common neurodegenerative disease. It is typically late onset and can develop substantially before di…☆32Updated 5 years ago
- Repo for final year project☆57Updated 4 years ago
- Official Repository of 'A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces'☆76Updated last year
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆118Updated 2 years ago