RT Journal Article
SR Electronic
T1 EyeBallGUI: A Tool for Visual Inspection and Binary Marking of Multi-channel Bio-signals
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 129437
DO 10.1101/129437
A1 Kieran S. Mohr
A1 Bahman Nasseroleslami
A1 Parameswaran M. Iyer
A1 Orla Hardiman
A1 Edmund C. Lalor
YR 2017
UL http://biorxiv.org/content/early/2017/05/06/129437.abstract
AB A wide range of studies in human neuroscience rely on the analysis of electrophysiological bio-signals such as electroencephalogram (EEG) where customized data analysis may require supervised artefact rejection, binary marking through visual inspection, selection of noise and artefact samples for pre-processing algorithms, and selection of clinically-relevant signal segments in neurological conditions. Nevertheless, the existing preprocessing tools do not provide the needed flexibility to handle such tasks efficiently. We therefore developed a free open-source Graphical User Interface (GUI), EyeBallGUI, that allows visualization and flexible, manual marking (binary classification) of multi-channel bio-signal data. EyeBallGUI, developed for MATLAB®, allows the user to interactively and accurately inspect and mark multi-channel digitized data with no restriction on marking periods of data in subsets of channels (a restriction in place in existing tools). The new tool facilitates precise, manual marking of bio-signals by allowing any desired segment of data to be marked in any subset of channels. It is therefore of utility in circumstances where such flexibility is essential. The developed GUI is an auxiliary analysis tool that shall facilitate neural signal (pre-)processing applications where it is desirable to perform accurate supervised artefact rejection, flexible data marking for increased data retention yield, extraction of specific signal segments by expert users from sample data, or labeling of data for clinical and scientific research purposes.