الفهرس 
Over of ECG AnalysisOnly 14 pages are availabe for public view
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Abstract
This thesis presents an overview about the recent electrocardiogram (ECG) automated diagnoses techniques. It was found that most techniques depended on the artificial neural network (ANN) to diagnose different ECG diseases, using the ECG diagrams. The present thesis introduces an ANN for ECG diagnosis using grouped diseases batches. This leads lo the introduction of a new measure lo evaluate the performance of the ANN and its training set. Also, a preprocessing technique had been introduced and optimized with respect lo oilier known signal processing methods. Moreover, a new cardiological technique is introduced to diagnose the bean diseases using the cardiac auscultation diagnosis (CAD),It was found that each cardiac auscultation disease (CAD) is characteri/ed by its unique extracted features, which can be used as a new diagnosis technique and can be integrated with the ECG diagnosis.