title: Influence of ECG measurement accuracy on ECG diagnostic statements.
abstract: Computer analysis of electrocardiograms (ECGs) provides a large amount of ECG measurement data, which may be used for diagnostic classification and storage in ECG databases. Until now, neither error limits for ECG measurements have been specified nor has their influence on diagnostic statements been systematically investigated. An analytical method is presented to estimate the influence of measurement errors on the accuracy of diagnostic ECG statements. Systematic (offset) errors will usually result in an increase of false positive or false negative statements since they cause a shift of the working point on the receiver operating characteristics curve. Measurement error dispersion broadens the distribution function of discriminative measurement parameters and, therefore, usually increases the overlap between discriminative parameters. This results in a flattening of the receiver operating characteristics curve and an increase of false positive and false negative classifications. The method developed has been applied to ECG conduction defect diagnoses by using the proposed International Electrotechnical Commission's interval measurement tolerance limits. These limits appear too large because more than 30% of false positive atrial conduction defect statements and 10-18% of false intraventricular conduction defect statements could be expected due to tolerated measurement errors. To assure long-term usability of ECG measurement databases, it is recommended that systems provide its error tolerance limits obtained on a defined test set.
authors.affiliation: Department Biosignalprocessing, Medical School Hannover, Germany.
authors.forename: C
authors.initials: C
authors.lastname: Zywietz
authors.forename: D
authors.initials: D
authors.lastname: Celikag
authors.forename: G
authors.initials: G
authors.lastname: Joseph
mesh_terms: D001145:Arrhythmias, Cardiac / Q000175:diagnosis* / Q000503:physiopathology; D003951:Diagnostic Errors / Q000145:classification*; D004562:Electrocardiography / Q000145:classification / Q000592:standards*; D001330:Electronic Data Processing / Q000379:methods*; D005260:Female; D006329:Heart Conduction System / Q000502:physiology; D006339:Heart Rate; D006801:Humans; D007256:Information Systems / Q000592:standards; D008297:Male; D008962:Models, Theoretical; D011237:Predictive Value of Tests