AI RESEARCH
ECG Biometrics with ArcFace-Inception: External Validation on MIMIC and HEEDB
arXiv CS.AI
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ArXi:2604.04485v1 Announce Type: cross ECG biometrics has been studied mainly on small cohorts and short inter-session intervals, leaving open how identification behaves under large galleries, external domain shift, and multi-year temporal gaps. We evaluated a 1D Inception-v1 model trained with ArcFace on an internal clinical corpus of 164,440 12-lead ECGs from 53,079 patients and tested it on larger cohorts derived from MIMIC-IV-ECG and