Abstract: A method to detect and identify any cardiac abnormality of a human heart by means of the frequency analysis of the cardiac electrical signal of the twelve (12) leads independently and two (2) corresponding leads jointly, comprises the steps of obtaining from a patient 12 time-domain cardiac electrical signals, commonly known as 12-lead ECG (electrocardiogram) signals, mathematically transforming these ECG signals into twelve (12) individual frequency-domain amplitude spectra with one spectrum for each of the 12 leads in a frequency range from 0 Hz to 25 Hz, applying the digital signal process principles of plurality of functions to determine the quality and quantity of each signal and that of two corresponding signals, comparing against a set of parameters that has been established in advance to identify and determine the diagnostic value of each index, and analyzing the value of all identified indexes thereby assessing the pathological condition of a human heart.

Abstract: A method and system for detecting heart diseases, especially the coronary artery diseases, comprises the steps of obtaining twelve (12) lead cardiac electrical signals from a patient, mathematically transforming the time-domain wave signals into twelve (12) frequency-domain amplitude spectra with one for each of the 12 leads, selecting a number of amplitude readings in the low frequency range of 0 Hz to 25 Hz of the frequency amplitude spectrum density curves for analysis, from a reference clinical database of established diagnostic criterion values selecting diagnostic indexes by which the presence of heart disease is judged, determining the pathological values of diagnostic indexes for each lead, comparing the value of each diagnostic index against the value of said index in the database for detection of heart diseases, compiling and visually displaying all 12 amplitude spectrum density curves with their respective diagnostic indexes in one picture for diagnostic reading thereby accomplishing the detection