Research paper validating ECG-based biometric identification using ArcFace-Inception architecture on MIMIC and HEEDB medical datasets. Demonstrates deep learning approach to physiological signal-based authentication.
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ECG Biometrics with ArcFace-Inception: External Validation on MIMIC and HEEDB
ArcFace-Inception validates ECG signals as a viable biometric identifier across major medical datasets, demonstrating physiological waveforms can serve as secure authentication vectors with external generalization.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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