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

• URL: http://arxiv.org/abs/2609.00435v1
• Date: Mon, 31 Aug 2026 22:17:14 GMT
• Title: Physiological Information Reliability: Cross-Layer Adaptive Resource Allocation for Cardiovascular Sensing
• Abstract summary: Cardiovascular sensing systems must preserve clinically useful information despite signal degradation, wireless losses, energy constraints, and edge-computation latency.<n>We introduce Physiological Information computation (PIR), a cross-layer framework that represents physiological information value with wireless energy computation states.<n>We integrate ECG/signal-quality estimation with physiological information value and an adaptive network-coding layer under burst-erasure conditions.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Cardiovascular sensing systems must preserve clinically useful information despite signal degradation, wireless losses, energy constraints, and edge-computation latency. We introduce Physiological Information Reliability (PIR), a cross-layer framework that represents physiological information value jointly with wireless, energy, and computation states and uses a contextual bandit to adapt sensing and communication decisions. We integrate multimodal ECG/PPG signal-quality estimation with physiological information value and an adaptive network-coding layer under burst-erasure conditions. Across controlled multiseed experiments, PIR-LinUCB demonstrates a promising low-energy operating point while maintaining medical latency constraints and competitive physiological estimation performance relative to fixed and heuristic policies. We analyze the resulting accuracy-energy-latency trade-offs and identify limitations of proxy PIV estimation and simulated communication dynamics. These results provide an initial computational demonstration of physiological-information-aware resource allocation and motivate future clinical and real-channel validation.

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