The EEG Analysis Module for LabScribe software allows investigators to look at EEG data using a number of preset standard EEG montages. The alpha, beta, theta and delta frequency distribution is calculated for each electrode combination and displayed graphically within the LabScribe EEG interface.
The LS-EEG Analysis is a standard module for LabScribe software. It allows investigators to look at EEG data using a number of preset standard EEG montages. The alpha, beta, theta and delta frequency distribution is calculated for each electrode combination and displayed graphically within the LabScribe EEG interface. Data can be manually analyzed within LabScribe or segments of ERP data parsed for export to a .txt, .csv EDF or MatLab file format for further analysis.
Use prebuilt standard montages or create your own.
Display the montage data as raw EEG signal, or in various EEG power bands.
4 Head displays can be used to display :
The head view image can be copied so that it can be used in publications.
The powers in the alpha beta, theta and delta bands is calculated for the selection and displayed in the table.
These values can be exported to the journal or a spereadsheet.
The analysis capabilities of LabScribe can be extended by using various open source EEG analysis programs such as:
EEGLAB : EEGLAB is an interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data.
SleepSMG: an open source matlab user interface for scoring sleep and comparing sleep scores across individuals.
Bryant, Corey. The Neurodynamics of Working Memory during a Stress Induced State. Diss. University of Michigan-Dearborn, 2016.
Differential Anterior EEG Brain Activity While Viewing Violent or Neutral Video Clips
Patrick A. Ament, Adam Runyan, Michael J. Omerza, Taylor Rodieck, Amanda Fuller, Darby M. Simon, and Isaac Flint, University of Central Missouri, Department of Psychological Science
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