Computer Analysis of Electrocardiographic Measurements

Abstract

Electrocardiography is particularly suitable for computer analysis because of the availability of quantitative objective data in that field. The purpose of this study was to explore the use of a properly programmed computer to distinguish clinically identifiable normal and abnormal ecg''s. The probability density function was the basis of the statistical analysis used in the computer for this study. With use of this technique, this study demonstrates that ecg measurements from a single standard lead were sufficient to separate ecg''s into groups that can be related to clinical characteristics. The methods of analysis of ecg variables in this study offer techniques particularly useful for analysis of data from large groups of subjects. The techniques can be used as an aid in diagnosis by physicians.