Cognitive artificial intelligence (CAI) software based on knowledge growing system (KGS) for diagnosing heart block and arrythmia

This paper describes the application of Cognitive Artificial Intelligence (CAI) Software to help reading the diagnosis of cardiac abnormalities obtained from electrocardiogram (ECG) charts. Based on Knowledge Growing System (KGS) algorithm, the CAI software performs hypothetical information processing and indication of cardiac abnormalities caused by Heart Block and Arrythmia. The result shows that this software can analyze the tendency of heart conditions, based on the observations related to indications and hypotheses of heart abnormalities. The output of the software is a graph showing the condition of cardiac health and the tendency of cardiac abnormalities as observed by the ECG.