Physiological Information Reliability: Cross-Layer Adaptive Resource Allocation for Cardiovascular Sensing

arXiv:2609.00435 · eess.SP, cs.LG, cs.NI · Submitted 2026-08-31 · Read on arXiv

eess.SP, cs.LG, cs.NI

Submitted: 2026-08-31

Updated: 2026-08-31

Comments: 6 pages, 4 figures, 3 tables. Submitted to the Machine Learning for Health (ML4H) 2026 Symposium, Findings Track. Code and experimental artifacts: https://github.com/ka-cyber/PIR-Framework

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

Terminology

• Physiological Information Reliability — 9× in this paper
• Accuracy — 8× in this paper · explained in 1 episode
• Redundancy — 8× in this paper · explained in 2 episodes
• Decode — 5× in this paper · explained in 2 episodes
• Contextual Bandits — 4× in this paper · explained in 3 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Multimodal Fusion — 2× in this paper · explained in 3 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Institutional Review Board — 1× in this paper
• Regret — 1× in this paper · explained in 3 episodes

Sources

• CardioFusion-AI: Robust ECG--PPG Fusion for Multimodal Physiological Monitoring Under Signal Degradation

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