title: Combination of diagnostic classifications from ECG and VCG computer interpretations.
abstract: The Common Standards for Quantitative Electrocardiography (CSE) study showed that the weighted combined diagnostic classification of a group of experts or a set of electrocardiographic (ECG) programs is superior to the average expert or program, and sometimes even better than the best expert. For that reason the authors investigated whether the combination of classifications from the authors' programs for ECG and vectorcardiographic (VCG) interpretation would deliver better results than either one separately. The CSE diagnostic database (n = 1,220) was used for testing purposes. Since the combination of computer interpretations from the ECG and VCG requires a separate and preferably simultaneous recording of the VCG, the authors also examined the combined interpretation of the ECG with a simulated VCG reconstructed from the eight independent leads of the 12-lead ECG (the rVCG). Besides that, the authors investigated the combined interpretation from all single beats of the dominant waveform from the same ECG recording (sECG). The performance of all combinations, that is, the ECG + VCG, ECG + rVCG, and sECG proved to be significantly better (74.2%, 73.6%, and 71.2%, respectively) than that of the ECG or VCG separately (69.8% and 70.2%, respectively; p < 0.001 for all cases). However, the difference in performance between the sECG and the VCG was not significant.
authors.affiliation: Department of Medical Informatics, Faculty of Medicine and Health Sciences, Erasmus University, Rotterdam, The Netherlands.
authors.forename: J H
authors.initials: JH
authors.lastname: van Bemmel
authors.forename: J A
authors.initials: JA
authors.lastname: Kors
authors.forename: G
authors.initials: G
authors.lastname: van Herpen
mesh_terms: D002309:Cardiology; D006332:Cardiomegaly / Q000175:diagnosis; D003936:Diagnosis, Computer-Assisted; D004562:Electrocardiography; D006801:Humans; D009203:Myocardial Infarction / Q000175:diagnosis; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D014672:Vectorcardiography