Development Of Methodology for Precise Diagnosis of Ecg By Artificial Intelligent

Implementation of Artificial Intelligence in medical diagnosis is a subject of intense study in nowadays. One of the current interests of developing an Artificial Intelligent is to develop an AI system for diagnosis of heart disease from Electrocardiogram (ECG). Few AI programs have also been developed for ECG diagnosis system, but most of them are based on pattern comparison algorithm which can never achieve the sufficient precision and accuracy for diagnosis task. To eliminate these deficiencies, this paper proposes a new methodology that makes AI system more capable for ECG diagnosis. The proposed methodology and design for AI diagnosis system is based on the statistical analysis of ECG and implementation of standard ECG Interpretation Principles for diagnosis of cardiac arrhythmias. This method is completely knowledge based and it applies the same methods and rules of cardiology which are implemented by a medical expert (cardiologist) to make a report of patient’s ECG. The proposed methodology also provides an ability of self learning to AI system in order to utilize the experiences in further diagnosis service.