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

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

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

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.

Original languageEnglish
Title of host publicationComputing in Cardiology Conference 2015, CinC 2015
EditorsAlan Murray
PublisherIEEE Computer Society
Pages197-200
Number of pages4
ISBN (Electronic)9781509006854
DOIs
Publication statusPublished - 16 Feb 2015
Event42nd Computing in Cardiology Conference, CinC 2015 - Nice, France
Duration: 6 Sep 20159 Sep 2015

Publication series

NameComputing in Cardiology
Volume42
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference42nd Computing in Cardiology Conference, CinC 2015
Country/TerritoryFrance
CityNice
Period6/09/159/09/15

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