eegunity 0.5.0

An open source Python pacakge for large-scale EEG datasets processing

EEGUnity

Overview

EEGUnity is a Python package designed for processing and analyzing large-scale EEG data efficiently. This guide will walk you through the Usage on Windows, macOS, and Linux. For more details on the motivation, concepts, and vision behind this project, please refer to the paper EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG Model

Usage in Python Project

(Notes: This repository is planned for release on PyPI and the Conda community once a stable version is achieved.)

Prerequisites

• Python 3.x
• Git
• See requirements.txt

Clone the Repository

First, clone the repository using Git:

Windows, macOS and Linux:

git clone https://github.com/Baizhige/EEGUnity/.git

Usage in Python Projects

To use EEGUnity in your Python project, you will need to copy the eegunity folder to your project directory:

1. Copy the eegunity folder from the cloned repository to your Python project's folder:

   Windows:

   • Copy EEGUnity\eegunity into your project's directory.

   macOS and Linux:

   • Copy EEGUnity/eegunity into your project's directory.

2. Your project structure should resemble the following:

my_project/
│
├── eegunity/
│   └── __init__.py
└── your_script.py

3. Import the package in your Python project like this:

   from eegunity import UnifiedDataset
   

Tutorial

1. How to Format Channel Name and Inspect Channel Data: Click here to view the tutorial
2. How to Process Data and Export as h5Dataset: Click here to view the tutorial
3. How to Read h5Dataset: Click here to view the tutorial

Project Documentation

You can view the project manual through the following link: Click here to view the manual