论文标题
探索病毒/细菌疾病的体温和HR，RR和主动脉血压之间的同步，具有信号动力学
Exploring the Synchrony Between Body Temperature and HR, RR, and Aortic Blood Pressure in Viral/Bacterial Disease Onsets with Signal Dynamics
论文作者
论文摘要
基于信号的疾病早期发现一直是研究和医院环境中的一个关键主题。它降低了技术成本，并为快速有效的患者护理操作铺平了道路。事实证明，基础机器学习和信号处理算法足以在临床症状之前对病毒和细菌状况的发作进行分类。受这些最新进展的启发，该项目采用了信号动态分析来推断生命体征的变化（温度，呼吸和心率）。结果表明，一个重要功能的趋势可以从另一个重要功能的趋势中预测。特别是，表明心率和呼吸通常在体温后不久发生变化，主动脉血压随后发生。这不是病因学上的方法，但是如果进一步提高，它可以使患者和可穿戴系统使用者驯服这些变化并防止立即症状。
Signal-based early detection of illnesses has been a key topic in research and hospital settings; it reduces technological costs and paves the way for quick and effective patient-care operations. Elementary machine learning and signal processing algorithms have proven to be sufficient in classifying the onset of viral and bacterial conditions before clinical symptoms are shown. Inspired by these recent developments, this project employs signal dynamics analysis to infer changes in vital signs (temperature, respiration, and heart rate). The results demonstrate that the trends of one vital function can be predicted from that of another. In particular, it is shown that heart rate and respiration typically change shortly after body temperature, and aortic blood pressure follows. This is not an etiologically specific approach, but if advanced further, it can enable patients and wearable system users to tame these changes and prevent immediate symptoms.
