Abstract: A method of analyzing experimentally derived electrocardiograph (ECG) data, and system for practicing said method, which allow tracking of subject cardiac status change and which allow accurate catagorization of subjects into various abnormal and normal classifications is disclosed. The presently preferred embodiment applies an algorithm which compares representative parameter, (eg. root-mean-square (RMS) mean), values derived from analysis of a selected portion of a single cycle of an ECG PQRST waveform obtained from investigation of a subject, to similarly derived representative parameter, (eg. RMS mean and RMS standard deviation), values for a composite ECG waveform present in a compiled data bank derived from (ECG) investigation of numerous subjects who were documented as normals, typically in each of a plurality of frequency range bands.

Abstract: A system and method for analyzing experimentally obtained electrocardiograph ECG data, which allows accurate catagorization of subjects into various abnormal and normal classifications, and which allows acurate tracking of subject cardiac status change, is disclosed. The method applies an algorithm which compares representative parameter, (eg. root-mean-square RMS mean), values derived from analysis of a representative composite of selected portions of a number of ECG PQRST waveforms obtained from ECG investigation of a subject, to similarly derived representative parameter, (eg. RMS mean and RMS standard deviation), values present in a compiled data bank derived from ECG investigation of numerous normals, (or initial subject data), in each of a plurality of frequency range bands. A highly diagnostic numerical "Score" is calculated by addition of "Score" components found to be acceptable under certain mathematical criteria, and provided by the algorithm.

Abstract: A method of analyzing empirically derived electrocardiograph (ECG) data which allows surprisingly accurate catagorization of subjects into various abnormal and normal classifications is disclosed. The presently preferred embodiment of the present invention applies an algorithm which compares root-mean-square (RMS) mean values derived from analysis of a representative composite of selected portions of a number of ECG PQRST waveforms obtained from (ECG) investigation of a subject, to similarly derived RMS mean and RMS standard deviation values present in a compiled data bank derived from (ECG) investigation of numerous normals, in each of a plurality of frequency range bands. A highly diagnostic numerical "Score" is calculated by addition of "Score" components found to be acceptable under certain mathematical criteria, and provided by the algorithm. Visually interpretable power spectral density plots supplement the method.