English(EN) Physiological Information Reliability: Cross-Layer Adaptive Resource Allocation for Cardiovascular Sensing

新框架通过自适应资源分配增强心血管传感

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

研究人员开发了一个名为生理信息可靠性（PIR）的新框架，以提高心血管传感系统的准确性和效率。PIR采用上下文老虎机方法，根据信号质量、无线条件、能量水平和计算约束来调整传感和通信决策。该框架集成了心电图（ECG）和光电容积脉搏波描记图（PPG）信号质量估计与自适应网络编码层。实验表明，与传统方法相比，PIR-LinUCB在保持医疗延迟和性能的同时，降低了能耗。 AI

影响该框架可能导致更高效、更可靠的可穿戴健康监测设备。

排序理由该集群包含一篇详细介绍新信号处理框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Navaneeth Krishnan Kamalakannan, Janakiraman Kamalakannan, Harinisri Velmurugan · 2026-09-02 04:00

生理信息可靠性：面向心血管传感的跨层自适应资源分配

arXiv:2609.00435v1 Announce Type: cross 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 …

本文如何被排名

报道来源 [1]

生理信息可靠性：面向心血管传感的跨层自适应资源分配

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