Diagnosis of ECG diagnosable diseases—syntactic pattern recognition approach

A method is presented for the analysis of electrocardiogram (ECG) diagnosable diseases using syntactic pattern recognition techniques. The ECG analysis described here will determine right-bundle branch block, left-bundle branch block, left ventricular hypertrophy, left-anterior hemiblock, and left-atnal hypertrophy. The 'patient data matrix’, obtained through the already developed data acquisition, string generation program, string compression program, wave recognition programs, wave measurement programs, the axis analysis programs and the arrhythmia programs, is used to classify ECG diagnosable diseases of a standard patient ECG. The ECG analysis program together with the above-specified programs can be connected to standard three-channel ECG chart to provide immediate on-site ECG interpretation.