| 摘要 |
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. Visually interpretable power spectral density plots supplement the method. In addition, comparison of the calculated "Score" to subject cardiac ejection fraction provides indication of risk for sudden death. The present invention is directly adapted to tracking subject cardiac status change by substituting a baseline subject data set for the normal population data set.
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