Computer Search for Electrocardiographic Lead Directions to Optimize Diagnostic Differentiation

Computer search for electrocardiographic lead directions to optimize diagnostic differentiation. A novel concept in electrocardiographic lead design.

Diagnostic criteria for computer-aided electrocardiographic 15-lead system. Evaluation using 12 leads and Frank orthogonal leads with vector display.

The criteria for the diagnosis of myocardial infarction and ischaemic heart disease by an automated 15-lead computer-aided electrocardiographic system were examined using electrocardiograms of 543 patients. Errors in the electrocardiographic diagnosis were evaluated for each lead system (Frank orthogonal 3-lead, 12-lead, and hybrid 15-lead) using clinical and catheterization data for definitive...

Electrocardiographic applications of lead aVR.

Lead aVR, 1 of 12 electrocardiographic leads, is frequently ignored in clinical medicine. In fact, many clinicians refer to the 12-lead electrocardiogram (ECG) as the 11-lead ECG, noting the commonly held belief that lead aVR rarely offers clinically useful information. In this report, we discuss the findings in lead aVR, which are potentially of value, including ST-segment elevation in the pat...

Diagnostic Electrocardiographic Sequences

Diagnostic electrocardiographic patterns were analyzed in 50 consecutive patients who had unequivocal clinical evidence of acute pericarditis. Distributions of P and QRS, and of P-R segment, ST-segment and T wave changes were plotted by lead and by mean frontal vector (A). Transient gross deviations of P-R segments, mainly in Stages 1 and/or 2, occurred in 41 patients (82%) and could produce an...

Computer for Electrocardiographic Data Analog to Digital Conversion System for Electrocardiographic Data

DIGITALI electronic computers are finding increasing applications in the analysis of medical and biologic data. The principal advantages are high speed, relatively great accuracy, and extreme versatility, especially for analytic operations that are too tedious and time-consuming for routine clinical use. Large amounts of data can be processed on a completely objective basis in a relatively shor...