Skip to main content
Top
Published in: Neurological Sciences 3/2021

01-03-2021 | Status Epilepticus | Original Article

An online, interactive, screen-based simulator for learning basic EEG interpretation

Authors: Brenda G. Fahy, Jean E. Cibula, W. Travis Johnson, Lou Ann Cooper, David Lizdas, Nikolaus Gravenstein, Samsun Lampotang

Published in: Neurological Sciences | Issue 3/2021

Login to get access

Abstract

Objective

Develop and pilot test a simulator that presents ten commonly encountered representative clinical contexts for trainees to learn basic electroencephalogram (EEG) interpretation skills.

Methods

We created an interactive web-based training simulator that allows self-paced, asynchronous learning and assessment of basic EEG interpretation skills. The simulator uses the information retrieval process via a free-response text box to enhance learning. Ten scenarios were created that present dynamic (scrolling) EEG tracings resembling the clinical setting, followed by questions with free-text answers. The answer was checked against an accepted word/phrase list. The simulator has been used by 76 trainees in total. We report pilot study results from the University of Florida’s neurology residents (N = 24). Total percent correct for each scenario and average percent correct for all scenarios were calculated and correlated with most recent In-training Examination (ITE) and United States Medical License Examination (USMLE) scores.

Results

Neurology residents’ mean percent correct scenario scores ranged from 27.1–86.0% with an average scenario score of 61.2% ± 7.7. We showed a moderately strong correlation r = 0.49 between the ITE and the average scenario score.

Conclusion

We developed an online interactive EEG interpretation simulator to review basic EEG content and assess interpretation skills using an active retrieval approach. The pilot study showed a moderately strong correlation r = 0.49 between the ITE and the average scenario score. Since the ITE is a measure of clinical practice, this is evidence that the simulator can provide self-directed instruction and shows promise as a tool for assessment of EEG knowledge.
Literature
6.
go back to reference Miller BR, Troyer M, Busey T (2008) Virtual EEG: A software-based electroencephalogram designed for undergraduate neuroscience-related courses. J Undergrad Neurosci Educ 7:A19–A25PubMedPubMedCentral Miller BR, Troyer M, Busey T (2008) Virtual EEG: A software-based electroencephalogram designed for undergraduate neuroscience-related courses. J Undergrad Neurosci Educ 7:A19–A25PubMedPubMedCentral
7.
go back to reference Mayorov OY (2000) Virtual training simulator--designer of EEG signals for tutoring students and doctors to methods of quantitative EEG analysis (qEEG). Stud Health Technol Inform 77:573–577PubMed Mayorov OY (2000) Virtual training simulator--designer of EEG signals for tutoring students and doctors to methods of quantitative EEG analysis (qEEG). Stud Health Technol Inform 77:573–577PubMed
10.
go back to reference Bjork EL, Bjork RA (2011) Making things hard on yourself, but in a good way: creating desirable difficulties to enhance learning. In: Gernsbacher MA, Pew RW, Hough LM, Pomerantz JR (eds) Psychology and the real world: essays illustrating fundamental contributions to society. Worth Publishers, New York, pp 56–64 Bjork EL, Bjork RA (2011) Making things hard on yourself, but in a good way: creating desirable difficulties to enhance learning. In: Gernsbacher MA, Pew RW, Hough LM, Pomerantz JR (eds) Psychology and the real world: essays illustrating fundamental contributions to society. Worth Publishers, New York, pp 56–64
Metadata
Title
An online, interactive, screen-based simulator for learning basic EEG interpretation
Authors
Brenda G. Fahy
Jean E. Cibula
W. Travis Johnson
Lou Ann Cooper
David Lizdas
Nikolaus Gravenstein
Samsun Lampotang
Publication date
01-03-2021
Publisher
Springer International Publishing
Published in
Neurological Sciences / Issue 3/2021
Print ISSN: 1590-1874
Electronic ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-020-04610-3

Other articles of this Issue 3/2021

Neurological Sciences 3/2021 Go to the issue