A Deep Learning Library for State-Based EEG Analysis
-
Updated
May 30, 2023 - Python
A Deep Learning Library for State-Based EEG Analysis
A python package for loading XDF files into MNE
42 school project. Process EEG datas by cleaning, extracting, creating a ML pipeline implementing a dimensionality reduction algorithm before finding the right classifier and handling a real time data-stream with sklearn.
Neural Architectures for the Detection of ASD using EEG and IRT
[DEPRECATED] EEG Frequency Visualizer - MNE
A runner for the MNE BIDS Pipeline.
🧠Quality assessor for EEG recordings 🧠
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 [NOTE] This project is no longer maintained.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
🧠 + 🚗 Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system
Python routines for parsing of combined EEG and eye-tracking data
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.
Add a description, image, and links to the mne topic page so that developers can more easily learn about it.
To associate your repository with the mne topic, visit your repo's landing page and select "manage topics."