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Most conventional ECG interpretation programs use decision tree logic for interpretation of the ECG. The performance is generally good but can be improved. Artificial neural networks represent a new computer method, which has proved to be of value in pattern recognition and classification tasks. The purpose of the studies in this thesis was to improve the analysis/interpretation of the 12-lead EC
