Computer-aided systematized approach to pediatric ECG analysis.

Area of Science:

• Pediatric Cardiology
• Medical Diagnostics
• Biomedical Engineering

Background:

• Conventional pediatric electrocardiography (ECG) analysis relies on subjective interpretation, increasing the risk of misdiagnosis.
• Evaluating 12 specific ECG segments (ES) is crucial for accurate diagnosis.
• A novel computer-aided segmental analysis (SA) approach was developed to enhance diagnostic accuracy.

Purpose of the Study:

• To evaluate the accuracy of a computer-aided SA for diagnosing pediatric ECGs.
• To compare the diagnostic performance of computer-aided SA with conventional methods.
• To assess the impact of computer-aided SA on cardiologists' interpretation of pediatric ECGs.

Main Methods:

• Software validation using five standard pediatric ECGs with established reports.
• Nineteen cardiology experts independently analyzed ECGs twice: conventionally and with computer-aided SA.
• Participants measured 12 specific ECG segments (ES) using grid paper, with values entered into custom software for comparison with normality standards.

Main Results:

• Computer-aided SA reduced ECG misreading and misinterpretation errors by 83%.
• A uniform, high-quality analysis of all ECG segments (ES) was observed, with a minimum of 92% correctly reviewed segments from normal pediatric ECGs.
• The computer-aided approach demonstrated consistent performance across all participating cardiologists.

Conclusions:

• Computer-aided SA is an efficient and safe complementary method for ECG evaluation in pediatric cardiology.
• The study supports the adoption of technology-assisted analysis to improve diagnostic outcomes.
• Enhanced accuracy and consistency in pediatric ECG interpretation can be achieved through computer-aided SA.