Learning Cardiac Features: ECG Biometrics Across Time and Exercise

arXiv:2609.21962 · cs.AI, q-bio.TO · Submitted 2026-09-18 · Read on arXiv

cs.AI, q-bio.TO

Submitted: 2026-09-18

Updated: 2026-09-18

Journal ref: Artificial Intelligence in Healthcare (AIiH 2026), Aug 2026, London, United Kingdom. pp.94-107

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection