EEGChain: An Open-Access EEGLAB-based Toolbox for Building, Managing, Automating, and Reproducing Batch EEG Processing Pipelines

• A convenient GUI-based EEG (pre-)processing pipeline management system;
• Loading pre-stored pipeline configurations to ensure consistent signal processing and reproducibility;
• Interactive GUI for selection, rearrangement, and customization of processing blocks from the EEGLAB toolbox;
• Offering both interactive and automated pipeline execution modes, providing flexibility in processing control;
• Easy creation of pipelines by adding, removing, or rearranging pipeline building blocks;
• Adjusting the parameters of each pipeline building block through the easy-to-use GUI of EEGChain;
• The same pipeline can be applied to multiple imported EEG datasets in batch, in an automated way.

ICBME 2024

EEGChain Layout

A) Processing Blocks

B) (Re)-Arranging the Processing Blocks

C) Loading Pre-stored Pipeline Configurations

D) Processing Pipeline

E) Processing Blocks Parameters

F) Naming and Storing the Created Pipeline Configuration

G) Interactive v.s. Automated Pipeline Execution Mode

H) Raw Data Path

I) Dataset Loading

J) Dataset Removing

K) Pipeline Execution

L) Accessing the Results Directory

EEGChain

EEGChain Functionalities

How to cite

• F. Afdideh, M. Boozari, A. Ekhlasi, A. M. Nasrabadi, “EEGChain: An Open-Access EEGLAB-based Toolbox for Building, Managing, Automating, and Reproducing Batch EEG Processing Pipelines,” 31st National and 9th International Iranian Conference on Biomedical Engineering (ICBME), in press, 2024.
• F. Afdideh, M. Boozari, A. Ekhlasi, A. Motie Nasrabadi, (2024), “fardinafdideh/EEGChain: v0.0”, (v0.0), Zenodo. https://doi.org/10.5281/zenodo.13888486.
• F. Afdideh, M. Boozari, A. Ekhlasi, A. M. Nasrabadi, “EEG Signal Cleaning Pipeline Management: EEGLAB-based,” in preparation (listed on the EEGLAB website).