Optimization of features for high reliability and security of ECG biometrics is done.
12-lead ECG from 574 non-cardiac patients with 2 remote recordings (>1 year) are used.
202 lead-specific features (durations, amplitudes, axes, and ST) are measured.
Optimal set is scored: (intersubject variability, intrasubject reproducibility) → max
Discriminant analysis validates 11 features for person verification (accuracy > 85%)