There are 1 repository under mne topic.
PyPREP: A Python implementation of the Preprocessing Pipeline (PREP) for EEG data
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
Python routines for parsing of combined EEG and eye-tracking data
Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EEG. Undergraduate thesis
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
User-friendly MNE-python based graphical user interface to do MEG and EEG analysis with multiple subjects
🧠 + 🚗 Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system
Scripts for the emotion EEG, ECG, sociability ISRSA analysis
This repository contains a Python implementation for solving a two-class classification problem using CSP features extracted from EEG data. The classification task involves discriminating between mental tasks, specifically imagining foot movement and performing mental discrimination.
We introduce XBrainLab, an open-source user-friendly software, for accelerated interpretation of neural patterns from EEG data based on cutting-edge computational approach.
Hand gesture classification by optomyographical sensor signals
It features tutorials on using the EEGLAB toolbox and MNE-Python, guiding users through the basics of EEG data handling, pre-processing, and artifact removal.
[DEPRECATED] EEG Frequency Visualizer - MNE
Detecting ASD with Models Trained on EEG/IRT Data
🧠Quality assessor for EEG recordings 🧠
Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017
Predicting Workload in Virtual Flight Simulations using EEG Spectral and Connectivity Features
Classify whether a patient is having ASD or not using EEG Data. [NOTE] This project is no longer maintained. An active version is now in https://github.com/nirdslab/asd-detection
Jupiter notebook with EEG-data classification problem from the MNE library
MNE-Python extension for VS Code
A runner for the MNE BIDS Pipeline.
Task + repository planning & workflow documentation in Flemish Natura 2000 habitat monitoring
The technical process of processing EEG data with Python-MNE and Octave.
EEG Signal Processing project, solving the brain source localization problem using various methods and models.
This is the repository of a course project in neuroinformatics. The project was about using autoencoder anomaly detection in order to detect button presses in EEG data.
A website that allows users to upload EEG and similar files and the user can make certain filtering/preprocessing selections that apply to graph visualization. Worked on this project in CMPS 420 using libraries like MNE, Plotly, and Django
Epilepsy prediction using brain EEG signals