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Adaptive Clinical Data Communication for Remote Monitoring in Rural Ambulance Transport

机译:用于农村救护车运输远程监控的自适应临床数据通信

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For emergency medical cyber-physical systems, enhancing the safety and effectiveness of patient care, especially in rural ambulance transport, is essential. Use of telecommunication technologies can enhance effectiveness and safety of remote monitoring of patients by the physicians at the center hospital during ambulance transport and provides vital assistance to the emergency medical technicians (EMT) to associate best treatments. However, the communication along the roads in rural areas can range from 4G to 2G to low speed satellite links, with some parts suffering from communication breakage. This unreliable and limited communication bandwidth together with the produced mass of clinical data and the many information exchanges pose a major challenge in real-time and smooth supervision of patients. In this paper, we present parts of developed physiology-aware communication architecture, a bandwidth-compliant criticality-aware system for transmission of clinical data adaptive to varying bandwidths during patient transport. We propose adaptation techniques to transmit more critical data with higher fidelity in response to changes in disease, clinical states, and bandwidth condition. In collaboration with Carle's ambulance service center, we develop a bandwidth profiler, and use it to collect communication traces to support our experiments. Our evaluation results show that our solutions ensure that most critical patient's clinical data are communicated with higher fidelity.
机译:对于紧急医疗网络物理系统,提高患者护理的安全性和有效性至关重要,尤其是在农村救护车运输中。电信技术的使用可以提高救护车运输过程中中心医院医师对患者进行远程监控的有效性和安全性,并为紧急医疗技术人员(EMT)提供重要的协助,以使其获得最佳治疗效果。但是,农村地区沿道路的通信范围可能从4G到2G到低速卫星链路,有些部分会遭受通信中断的困扰。这种不可靠和有限的通信带宽,再加上大量的临床数据和许多信息交换,对患者的实时,顺畅的监护提出了重大挑战。在本文中,我们介绍了已开发的生理感知通信体系结构的一部分,该体系结构是一种带宽兼容的临界感知系统,用于在患者运输过程中传输适应于不同带宽的临床数据。我们提出适应技术,以响应疾病,临床状态和带宽状况的变化以更高的保真度传输更多关键数据。与Carle的救护车服务中心合作,我们开发了带宽分析器,并使用它来收集通信跟踪信息以支持我们的实验。我们的评估结果表明,我们的解决方案可确保以更高的保真度传达大多数关键患者的临床数据。

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