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- W2900572871 abstract "Objective: The objective of our study is to determine if use of a mobile tutorial EEG atlas will improve user recognition of EEG waveforms and patterns. Background: According to the ACGME, every graduating neurology resident must be proficient at interpreting an electroencephalogram (EEG). EEG interpretation is an exercise in visual analysis and pattern recognition. As such, mastery of EEG interpretation requires visual exposure to a large volume of varied cases. Traditional methods of teaching EEG include: (1) books/lectures, which usually do not provide an opportunity for the learner to test their knowledge, or (2) clinical experience, during which learning is highly variable depending on the case mix at the time and the teaching skills/interest of the supervising physicians. We propose that this gap in EEG learning tools can be filled by a mobile tutorial EEG atlas. Design/Methods: The mobile application we developed includes an atlas of 55 EEG images representing various normal features of sleep or wake states, benign variants, EEG artifacts, and epileptiform and slow patterns. 30 neurology residents will participate in use of the application. Users can learn to recognize components of EEG by viewing images either in study-mode (flashcard format) or review-mode (using glossary feature). User knowledge will be evaluated with a multiple choice pre-test, as well as two post-tests (immediately after use, and at 4 weeks) to assess for retention of information. The primary outcome measured will be the inter-user change in test score after application use. Results: Results expected at time of presentation. Conclusions: We hypothesize that use of a mobile tutorial EEG atlas will improve user recognition of EEG waveforms and patterns. This can be a useful tool for residents to improve EEG interpretation skills. Goals for the future include expansion of the application to include a larger collection of images, as well as a case-based learning mode. Disclosure: Dr. Shapiro has nothing to disclose. Dr. Mendiratta has nothing to disclose. Dr. Patel has nothing to disclose. Dr. Bell has nothing to disclose." @default.
- W2900572871 created "2018-11-29" @default.
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- W2900572871 date "2018-04-10" @default.
- W2900572871 modified "2023-09-23" @default.
- W2900572871 title "A Mobile Electroencephalogram (EEG) Tutorial Atlas as a Learning Tool for Neurology Residents (P3.344)" @default.
- W2900572871 hasPublicationYear "2018" @default.
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