visualEEG

visualEEG is a MATLAB/GUIDE based toolbox which can be used for very basic analysis of EEG/EMG data. The goal of this project is to develop a single window interactive tool.

---

Fig 1. The main GUI window of visualEEG which allows an interactive processing of data.

Source Code and Tutorials related to Publications

1. README for "Automated Labeling of Movement-Related Cortical Potentials using Segmented Regression", IEEE Transactions on Neural Systems and Rehabilitation Engineering, doi: 10.1109/TNSRE.2019.2913880

Tutorials

Following tutorials are available.

1. Overview of visualEEG
2. How to Import Data in visualEEG?
3. Sample Data Explained
4. How to Add New Operations?

Compatibility

Currently visualEEG is being developed on macOS Mojave, MATLAB 2017b. However, in the past, it has been tested to work on OSX El Capitan MATLAB R2015b; Windows 7, MATLAB 2014a; and Linux (Ubuntu LTS 14.04), MATLAB 2012b.

Installation

Latest Version with Source Code (Matlab Required)

1. Clone the git repository using git. Or, download a compressed copy here.

$ git clone https://github.com/GallVp/visualEEG

2. From MATLAB file explorer, enter the visualEEG folder by double clicking it. Type visualEEG in the MATLAB command window and hit enter to run.

Binary Versions (Matlab Not Required)

Version 2.1: Windows installer, Mac installer

Third Party Libraries

visualEEG uses following third party libraries. The licenses for these libraries can be found next to source files in their respective libs/thirdpartlib folders.

1. barwitherr Copyright (c) 2014, Martina Callaghan. Source is available here.
2. export_fig Copyright (c) 2014, Oliver J. Woodford, Yair M. Altman. Source is available here.
3. pooledmeanstd Copyright (c) 2012, R P. Source is available here.