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Importance of accounting for the variability of electrocardiographic data among diagnostically similar patients with inferior wall healed myocardial infarction

      In this report, we propose an objective method of deciding what is the permissible magnitude of deviation of a patient’s electrocardiogram (ECG) from those that are either normal or are typical of various abnormalities. In our method, we compare an individual patient’s digital electrocardiographic data with the pooled data from the ECGs of diagnostically uniform groups of patients. A key feature of our method is that it considers not only the numerical differences among these sets of data, but also the variability of the data. By doing so, our method empirically addresses the question: How much deviation of a patient’s ECG from normal and from various abnormal standards is diagnostically significant? To test the usefulness of the proposed method, we studied its ability to diagnose healed inferior myocardial infarction (IMI).
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