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American Heart Journal|January 10, 1998
Comparison of teaching the basic electrocardiographic concept of frontal plane QRS axis using the classical versus the orderly electrocardiogram limb lead displaysU S Pahlm, J E O'Brien, J Pettersson, et al.
Journal of Electrocardiology|January 10, 2002
Validation of advanced ECG diagnostic software for the detection of prior myocardial infarction by using nuclear cardiac imagingA Andresen, J Dobkin, C Maynard, et al.
Circulation|December 1, 1975
Initial forces of ventricular depolarization in the Wolff-Parkinson-White Syndrome. Analysis based upon localization of the accessory pathway by epicardial mappingA M Tonkin, G S Wagner, J J Gallagher, et al.
Circulation|February 1, 1976
Evaluation of vectorcardiographic criteria for the diagnosis of myocardial infarction in the presence of left ventricular hypertrophyH R Phillips, J W Starr, V S Behar, et al.
Nuclear Medicine Communications|March 14, 2002
Quantification of myocardial hypoperfusion with 99m Tc-sestamibi in patients undergoing prolonged coronary artery balloon occlusionE Persson, J Palmer, J Pettersson, et al.
The American Journal of Cardiology|April 1, 1988
Development and validation of an automated method of the Selvester QRS scoring system for myocardial infarct sizeJ E Pope, N B Wagner, D Dubow, et al.
The American Journal of Cardiology|December 1, 2001
Clinical significance of abnormal T waves in patients with non-ST-segment elevation acute coronary syndromesM D Jacobsen, G S Wagner, L Holmvang, et al.
Circulation|January 1, 1996
Relation between symptom duration before thrombolytic therapy and final myocardial infarct sizeM H Raitt, C Maynard, G S Wagner, et al.
Journal of the American College of Cardiology|April 1, 1995
Appearance of abnormal Q waves early in the course of acute myocardial infarction: implications for efficacy of thrombolytic therapyM H Raitt, C Maynard, G S Wagner, et al.
Journal of Electrocardiology|January 1, 1994
ECG myocardial infarct size: a gender-, age-, race-insensitive 12-segment multiple regression model. I: Retrospective learning set of 100 pathoanatomic infarcts and 229 normal control subjectsR H Selvester, G S Wagner, R E Ideker, et al.
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