A New Artificial Neural Network Method for the Interpretation of ECGs

Acute myocardial infarct could be a life-threatening disease. Early treatment could be life saving, but treatment of patients not suffering from infarct may cause serious complications. Therefore a rapid decision regarding diagnosis and treatment is of great importance. The physician at the emergency department has to rely on the electrocardiogram (ECG) for the diagnosis. A reliable computer-aided interpretation would be of great value. The purpose of this study was to develop a decision-support system for the diagnosis of acute myocardial infarct using a method that can estimate the error of an artificial neural network.