EEG VMAC Toolbox

About EEG VMAC Toolbox

The EEG VMAC Toolbox is designed for the visualization, manipulation, analysis, and classification of EEG signals. It provides a user-friendly interface to process EEG data efficiently. The toolbox includes advanced functionalities for EEG signal preprocessing, feature extraction, classification using machine learning techniques, and interactive data visualization. It supports multiple EEG datasets and ensures efficient signal analysis for research and clinical applications. The work was submitted to the International Conference on Machine Learning and Data Engineering (ICMLDE 2024) and was subsequently published on May 10, 2025, in Procedia Computer Science (Elsevier), Volume 258, pages 1062–1080. Notably, the source code associated with this work was granted a software copyright by the Government of India in 2020. This work aligns with 𝗦𝗗𝗚 𝟯 (𝗚𝗼𝗼𝗱 𝗛𝗲𝗮𝗹𝘁𝗵 𝗮𝗻𝗱 𝗪𝗲𝗹𝗹-𝗯𝗲𝗶𝗻𝗴), 𝗦𝗗𝗚 𝟰 (𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻), and 𝗦𝗗𝗚 𝟵 (𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆, 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲). The EEG VMAC Toolbox is at 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 𝗟𝗲𝘃𝗲𝗹 (𝗧𝗥𝗟) 𝟰–𝟱, validated in research environments and ready for broader applications in EEG signals. To utilize the tool effectively, please refer to the published paper, consult the user manual, and follow the additional instructions provided below.

PDF of the paper - EEG VMAC Toolbox

Toolbox Copyright Details

© 2020 EEG VMAC Toolbox, Govt. of India. All rights reserved.

Citation Details

If you use EEG VMAC Toolbox in your research, please cite the following publication:

Gopal Chandra Jana, Abhishek Karmakar, Anupam Agrawal,"EEG VMAC Toolbox: A User-Friendly Open-Source Toolbox for EEG Signals Visualization Manipulation Analysis and Classification",Procedia Computer Science - International Conference on Machine Learning and Data Engineering, 2025, Vol. 258, pp. 1062-1080. DOI:https://doi.org/10.1016/j.procs.2025.04.342, [RIS], [BibTeX], [Text]

EEG VMAC Toolbox Functionalities

• EEG signal preprocessing and artifact removal

• Feature extraction and signal transformation

• Machine learning-based classification

• Data visualization with interactive plots

• Support for multiple EEG data formats (EDF, CSV, and Excel)

• Applicability in both research and clinical environments

User Manual and Tutorial

Download: EEG VMAC Toolbox User Manual

Download: EEG VMAC Toolbox Quick Start

Required Packages Need to Be Installed: requirement.txt

Request and Download

Please provide a few information using the Link in order to get the EEG VMAC Request Form. Print, sign, and mail this document along with a brief description of the project (1 page max.) in which you wish to use the EEG VMAC Toolbox via email to help.eegvmactoolbox@gmail.com. After submitting the request form and project description (emailing to help.eegvmactoolbox@gmail.com and eegvmactoolbox@gmail.com), you will receive a link and access code for downloading the EEG VMAC Toolbox. The process may take 5 to 7 working days.

Core Team Members

• Dr. Gopal Chandra Jana, PhD, IIITA

• Abhishek Karmakar, B.Tech., IIIT Kalyani

• Prof. Anupam, Professor, Dept. of IT, IIITA

Need Help?

Contact us:

Email: help.eegvmactoolbox@gmail.com

Our team will help you to run the EEG VMAC Toolbox.

Thank you!