Title:	“OAAT”, A NEW, SIMPLE AND POWERFULL INTERACTIVE TOOL FOR ECG ANALYSIS LEARNING
Author(s):	Yvon Lessard , Jean-paul Sinteff , Pridi Siregar , Nathalie Julen , Frédéric Hannouche , Stéphane Rio , Pierre Le Beux
ISBN:	978-972-8924-58-4
Editors:	Miguel Baptista Nunes and Maggie McPherson (series editors: Piet Kommers, Pedro Isaías and Nian-Shing Chen)
Year:	2008
Edition:	V I, 2
Keywords:	E-learning - ECG – Arrhythmias – computer simulation – 2D heart model
Type:	Full Paper
First Page:	53
Last Page:	59
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	Background: the ECG remains a daily diagnostic tool used by all physicians, including general practitioners, for the detection of numerous cardiovascular diseases. Computer-aided learning is of interest in order to answer the growing demand of medical students in learning ECG analysis. Aim : our goal was to use a computerized qualitative model (QM) of heart in order to build cases of simple arrhythmias dedicated to initial and more advanced medical teaching. Methods: the original QM is able to generate videograms of many cardiac disturbances. A Flash player is used to view, either separately or in combination, ECG, synchronous Lewis diagram and chromatic 2D cardiac animation of a specific case. Results: OAAT is a standardized 17 yes/no answers questionnaire which allows the learner to diagnose 5 main types of arrhythmias that can be compared with normal sinus rhythm (NSR) analysis. Discussion: this new tool has been recently used by medical students during practical sessions. Its use is too recent to provide an objective evaluation yet. Nevertheless, based on medical reasoning learning on NSR video and upon trying to recognize an abnormal cardiac rhythm, all users can reach the 100 % winning score since they can perform as many attempts as they like. Conclusion: we believe that unlimited case review with questionnaire answering, ECG and Lewis diagram replay and step by step visualization of the abnormal propagation of the cardiac impulse on the 2D heart videos are a highly efficient means to help students understand even complex arrhythmic mechanisms. Our tool will soon allow the analysis of more than 100 different cases of arrhythmias.
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