Interactive progressive-based approach to aid the human interpretation of the 12-lead Electrocardiogram

Cairns, Andrew W.; Bond, Raymond R.; Finlay, Dewar D.; Breen, Cathal J.; Guldenring, Daniel; Gaffney, Robert; Henn, Pat; Peace, Aaron J.

Abstract

The 12-lead Electrocardiogram (ECG) is an important diagnostic support tool but is frequently incorrectly interpreted. This is partly due to the fact that even expert clinicians can impulsively provide a diagnosis based on first impression/intuition. It is therefore imperative to optimise how physicians interpret the 12-lead ECG. Hence, a set of interactive questions and prompts has been developed to guide an observer through a series of tasks when interpreting an ECG. This has been named `Interactive Progressive based Interpretation' (IPI). Using this model, the 12-lead ECG is segmented into five parts and presented over five web based user interfaces. The IPI model was implemented using emerging web technologies such as HTML5. Thus, a new model has been proposed to aid ECG interpretation where observers systematically and sequentially interpret the 12-lead ECG as a series of sub-tasks. We hypothesize that this will reduce the number of errors and increase diagnostic accuracy.

Citation

Cairns, A. W., Bond, R. R., Finlay, D. D., Breen, C. J., Guldenring, D., Gaffney, R., Henn, P., & Peace, A. J. (2015, September). Interactive progressive-based approach to aid the human interpretation of the 12-lead Electrocardiogram. Presented at 2015 Computing in Cardiology Conference (CinC), Nice, France

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2015 Computing in Cardiology Conference (CinC)
• Start Date: Sep 6, 2015
• End Date: Sep 9, 2015
• Online Publication Date: Feb 18, 2016
• Publication Date: 2015
• Deposit Date: Nov 3, 2022
• Publisher: Institute of Electrical and Electronics Engineers
• Series ISSN: 2325-887X
• Book Title: 2015 Computing in Cardiology Conference (CinC)
• DOI: https://doi.org/10.1109/cic.2015.7408620
• Keywords: 12-lead electrocardiogram, interactive progressive based interpretation, HTML5, ECG interpretation, human interpretation, diagnostic accuracy, Web based user interfaces
• Public URL: http://researchrepository.napier.ac.uk/Output/2947961
• Publisher URL: https://ieeexplore.ieee.org/document/7408620