Application of computerized exercise ECG digitization. Interpretation in large clinical trials

Area of Science:

• Cardiology
• Medical Informatics

Background:

• Exercise electrocardiography (ECG) is crucial for diagnosing myocardial ischemia.
• Accurate and reproducible analysis of ECG changes, particularly ST-segment deviations, is essential.
• Current methods may have limitations in precision and consistency.

Purpose of the Study:

• To develop and evaluate a semiautomated program for exercise ECG analysis.
• To improve the accuracy and reproducibility of detecting myocardial ischemia markers.
• To facilitate quantitative assessment of ST changes in large-scale clinical studies.

Main Methods:

• A semiautomated program was developed using Microsoft QuickBASIC 2.0 on an IBM PC.
• The program integrates visual identification of fiducial points and digital analysis of ST-segment parameters (e.g., ST slope, J-point deviation).
• Components include data entry, ECG digitization, result calculation, physician overread, and an editor function.

Main Results:

• The program demonstrated enhanced accuracy and reproducibility in detecting exercise and postexercise ECG changes indicative of myocardial ischemia.
• It provides accurate and reproducible quantitative assessment of ST changes.
• Minimal physician overread time is required.

Conclusions:

• The computerized exercise ECG digitization-interpretation program is accurate and reproducible.
• It is suitable for analyzing large volumes of exercise tests in multicenter clinical trials.
• The program is currently used in major NIH-sponsored studies like TIMI II, TIMI III, and BARI.