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Abstracts 2305066

Machine Learning Determines the Impact of Electrocardiography Lead Reduction on Diagnostic Accuracy

Andrew Nguyen

Abstract 2305066, presented at Western Atrial Fibrillation Symposium 2026

Wearable monitors increasingly rely on reduced-lead electrocardiography (ECG) systems, yet the diagnostic vulnerability of individual ECG phenotypes to lead loss remains not well defined. Determining which conditions experience diagnostic degradation when transitioning from 12-lead to 6-, 4-, 2-, and 1-lead configurations is essential for guiding the safe and effective use of reduced-lead technologies.Raw 10-second ECG segments (N = 45,152; 5000×12 samples each) from the PhysioNet 12-Lead ECG Database with 102 phenotypes were filtered to 27 diagnoses or phenotypes having ≥10 positive samples. For each diagnosis or phenotype, a random forest classifier was trained using an 80/20 train–test split across five lead configurations: 12-lead, 6-lead (I, II, V1-V4), 4-lead (I, II, V1, V2), 2-lead (II, V2), and 1-lead (II). Performance was evaluated using the area under the curve (AUC) of the receiver operating characteristic. Diagnostic vulnerability was calculated as ΔAUC = AUC (12-lead) – AUC(X-lead), where values near zero indicate high diagnostic robustness.The average diagnostic performance decreased with lead reduction (mean AUC: 12-lead 0.74, 6-lead 0.72, 4-lead 0.7, 2-lead 0.70, 1-lead 0.67). Reductions from 12 to 6, 4, and 2 leads were not statistically significant (p > 0.05), whereas performance dropped significantly with 1-lead ECGs (W = 85, p = 0.01). Diagnostic vulnerability to reduced leads varied by diagnosis or phenotype. Rhythm disorders such as atrial fibrillation (AUC: 0.79) and atrial flutter (0.65) showed minimal degradation (ΔAUC ≤0.03). Most conduction disorders also remained stable to lead reduction, such as left bundle branch block (AUC: 0.944, ΔAUC ≤0.009). Morphology disorders showed significant declines, such as left ventricular hypertrophy (AUC: 0.851, ΔAUC: 0.252 from 12 to 1 lead) and abnormal Q wave (AUC: 0.764, ΔAUC: 0.261 from 12 to 2 leads). Overall, conditions dependent on spatial QRS morphology were most sensitive to lead loss, whereas rate, rhythm, and conduction-based conditions remained relatively stable.Rate, rhythm, and conduction-based conditions remain robust with fewer leads, whereas morphology-dependent disorders degrade significantly. These findings inform which diagnoses are appropriate for wearable ECGs, and which still require full 12-lead acquisition for safe clinical interpretation.