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Updated: Jun 21, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

A spreadsheet application for processing long-term EEG recordings.

Melvin Ayala¹, Mercedes Cabrerizo, Maria Tito

¹Center for Advanced Technology and Education, Electrical and Computer Engineering Department, Florida International University, Miami, FL 33174, USA. Melvin.Ayala@fiu.edu

Computers in Biology and Medicine

|August 1, 2009

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This study introduces a Windows application for processing large tabular text files, particularly electroencephalography (EEG) data. It overcomes Excel limitations, offering advanced visualization, cell processing, and complex data analysis capabilities.

Area of Science:

Computer Science
Neuroscience
Data Science

Background:

Microsoft Excel has limitations in handling large tabular data, especially for scientific applications.
Processing large datasets like electroencephalography (EEG) files requires specialized tools.

Purpose of the Study:

To develop a Windows application for efficient processing of large tabular text files.
To overcome the row and column limitations of conventional spreadsheet software.
To provide advanced data visualization and analysis features for scientific data.

Main Methods:

Development of a custom Windows application.
Implementation of data loading, visualization, and processing functionalities for large tables.
Integration of chart customization, cell processing, signal processing, cluster analysis, and matrix algebra operations.

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Last Updated: Jun 21, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

Published on: November 13, 2019

Main Results:

The application successfully processes tabular files exceeding 65,536 rows and 256 columns.
Users can visualize and manipulate large datasets without memory constraints beyond the operating system's capacity.
The tool provides comprehensive features for data analysis, including signal processing and matrix algebra.

Conclusions:

The developed application offers a powerful and flexible solution for handling and analyzing large tabular scientific data.
It significantly enhances the capabilities for processing electroencephalography (EEG) data and other large datasets.
The tool addresses a critical need for advanced data processing in scientific research.