Welcome to EEGEmoLib’s documentation!

EEGEmoLib is a Python library for EEG modeling and training.

Check out the Usage section for further information, including how to Installation the project.

Useful Links

• EEGEmoLib Homepage

• EEGEmoLib on PyPI

Note

This project is under active development.

Contents

• Usage
  • Installation
  • Reproducing Paper Experiments
  • Simple Tutorial
• How to Contribute
  • New Models
    • Model Input
    • Model Output
    • Model Integration
    • Example: A Minimal Model MyNet
  • New Feature Extraction Methods
    • Input and Output
    • Compatibility Requirements
    • Integration
    • Example: Adding an rms Feature
  • New Datasets
    • Required Methods
    • Example: Minimal Dataset Skeleton
• Datasets
  • Preprocessing
• Feature Extration
  • Time Domain Features
  • Frequency Domain Features
• Feature Selection
  • Filter Methods
  • Wrapper Methods
  • Embedded Methods
• Models
  • Sequential Models
  • Convolution Models
  • Graph Models