An Annotation Driven Rule-based Algorithm for Suggesting Multiple 12-lead Electrocardiogram Interpretations.

[1]  Donald A Redelmeier,et al.  Improving patient care. The cognitive psychology of missed diagnoses. , 2005, Annals of internal medicine.

[2]  Chris D. Nugent,et al.  An XML Format for storing Body Surface Potential Map recordings , 2009, 2009 36th Annual Computers in Cardiology Conference (CinC).

[3]  Tim Bray,et al.  Internet Engineering Task Force (ietf) the Javascript Object Notation (json) Data Interchange Format , 2022 .

[4]  Douglas B. Fridsma,et al.  Research Paper: Computer Decision Support as a Source of Interpretation Error: The Case of Electrocardiograms , 2003, J. Am. Medical Informatics Assoc..

[5]  Remy Rikers,et al.  Diagnostic errors and reflective practice in medicine. , 2007, Journal of evaluation in clinical practice.

[6]  Raymond Bond,et al.  An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretation. , 2014, Journal of electrocardiology.

[7]  John E Madias,et al.  The 13th multiuse ECG lead: shouldn't we use it more often, and on the same hard copy or computer screen, as the other 12 leads? , 2004, Journal of electrocardiology.

[8]  A. Shah,et al.  Errors in the computerized electrocardiogram interpretation of cardiac rhythm. , 2007, Journal of electrocardiology.

[9]  John D'Angelo,et al.  Competency in electrocardiogram interpretation among internal medicine and emergency medicine residents. , 2005, The American journal of medicine.

[10]  R R Bond,et al.  Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: an objective quantitative approach. , 2014, Journal of electrocardiology.

[11]  Haiying Wang,et al.  A markup language for electrocardiogram data acquisition and analysis (ecgML) , 2003, BMC Medical Informatics Decis. Mak..

[12]  George Qi Gao.  Computerised detection and classification of five cardiac conditions , 2003 .

[13]  W. Weaver,et al.  Misdiagnosis of atrial fibrillation and its clinical consequences. , 2004, The American journal of medicine.

[14]  RR Bond,et al.  EcgRuleML: A rule-based Markup Language for describing diagnostic ECG criteria , 2010, 2010 Computing in Cardiology.