The ECG Highway: Applying Prime Highway Methodology to Arrhythmia Classification

DISCLAIMER: This paper presents a methodology proposal, not a validated diagnostic tool. All results are based on simulated RR interval data generated from physiological models, not real patient ECG recordings. Performance metrics (98.6% determinism, 85% accuracy, 100% VTach recall) reflect proof-of-concept testing on simulated data only. Validation on real clinical datasets (e.g., MIT-BIH Arrhythmia Database, PhysioNet) is required to establish real-world performance before any clinical application. Do not use for clinical decision-making. The ECG Highway: Deterministic Structure in Heart Rhythms for Arrhythmia Detection This paper applies the Prime Highway methodology to electrocardiogram (ECG) analysis, discovering that RR interval patterns exhibit deterministic structure analogous to prime sequences. Just as 14 consecutive primes uniquely determine the next gap, sequences of heartbeat intervals can predict arrhythmia type with 98.6% determinism. Key Findings: - Context length k=9 achieves 98.6% determinism - 85.2% overall accuracy - 100% recall for ventricular tachycardia (life-threatening arrhythmia never missed) - Detects: normal sinus rhythm, atrial fibrillation, ventricular tachycardia, PVCs, heart block Medical Applications: - Real-time bedside monitoring with reduced false alarms - Automated Holter monitor analysis - Population-level atrial fibrillation screening via wearables - Sudden cardiac death prevention - Pacemaker and ICD optimization