bigdelys / eye-catch

Detects eye-related EEG ICA components from their scalp topography using a large database of previously tagged scalp maps.

EyeCatch

A fully automatic algorithm, implemented in MATLAB, for finding Eye-Related ICA components based on their scalpmaps and spectrum signatures (new). It has a performance comparable to CORRMAP while not requiring any user intervention.

Here is a sample of eye-related ICA scalpmaps used in EyeCatch:

Measure Projection Toolbox (MPT) includes EyeCatch software (as pr.eyeCatch class), if you have not installed MPT you can download EyeCatch stand-alone from this repository.

How to Reference

If you used EyeCatch, please include a reference to EyeCatch paper (below) in your publication :

Bigdely-Shamlo, Nima, Kenneth Kreutz-Delgado, Christian Kothe, and Scott Makeig. "EyeCatch: Data-mining over half a million EEG independent components to construct a fully-automated eye-component detector." In Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, pp. 5845-5848. IEEE, 2013.

Usage

Note: if you have already installed Measure Projection software, please use pr.eyeCatch instead of eyeCatch in the examples below. Example 1: Finding eye ICs in the EEG structure ().

>> eyeDetector = eyeCatch;     % create an object from the class. Once you made an object it can
                                  % be used for multiple detections (much faster than creating an
                                  % object each time).

then

>> [eyeIC similarity scalpmapObj] = eyeDetector.detectFromEEG(EEG); % detect eye ICs
>> eyeIC                          % display the IC numbers for eye ICs.
>> scalpmapObj.plot(eyeIC)        % plot eye ICs

Example 2: (application on a study)

 >> eyeDetector = eyeCatch;        % create an object from the class. Once you made an object it can
                                   % be used for multiple detections (much faster than creating an
                                   % object each time).
 % read data from a loaded study
 >> [isEye similarity scalpmapObj] = eyeDetector.detectFromStudy(STUDY, ALLEEG);
 >> find(isEye)                    % display the IC numbers for eye ICs (since isEye is a logical array). The order of ICs is same order as in STUDY.cluster(1).comps .
 >> scalpmapObj.plot(isEye)        % plot eye ICs

Created by Nima Bigdely-Shamlo, PhD.