Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients. An ST-T interval is identified from the plurality of subwaveforms and discontinuity points based on the comparison, the ST-T interval is divided into N number of equally spaced sections, and an average data value of detection is calculated for each section. A table is displayed that includes an average data value of detection for each section of the ST-T interval.
Artificial intelligence (AI) electrocardiogram (ECG)