Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: an objective quantitative approach-Reference-Cited by-同舟云学术

Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: an objective quantitative approach

Published:2014-11 Issue:6 Volume:47 Page:895-906
ISSN:0022-0736
Container-title:Journal of Electrocardiology
language:en
Short-container-title:Journal of Electrocardiology

Author:

Bond R.R.,Zhu T.,Finlay D.D.,Drew B.,Kligfield P.D.,Guldenring D.,Breen C.,Gallagher A.G.,Daly M.J.,Clifford G.D.

Funder

Royal Irish Academy

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference17 articles.

1. Methods used to interpret the 12-lead electrocardiogram: pattern memorization versus the use of vector concepts;Hurst;Clin Cardiol,2000

2. Reliability of electrocardiogram interpretation in critically ill patients;Lim;Crit Care Med,2006

3. Eye tracking in the assessment of electrocardiogram interpretation techniques;Bond;Comput Cardiol,2012

4. The standard 11-lead ECG: neglect of lead aVR in the classical limb lead display;Pahlm;J Electrocardiol,1996

5. Exploring the impact of expertise, clinical history, and visual search on electrocardiogram interpretation;Wood;Med Decis Making,2014

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generalization challenges in electrocardiogram deep learning: insights from dataset characteristics and attention mechanism;Future Cardiology;2024-03-11

2. Comparison of clinical geneticist and computer visual attention in assessing genetic conditions;PLOS Genetics;2024-02-27

3. Human and computer attention in assessing genetic conditions;2023-07-28

4. Gaze patterns reflect and predict expertise in dynamic echocardiographic imaging;Journal of Medical Imaging;2023-03-22

5. An Eye-Tracking Based Machine Learning Model Towards the Prediction of Visual Expertise for Electrocardiogram Interpretation;Medical Imaging and Computer-Aided Diagnosis;2023