Delay of Transmitted Data in the Remote Patient Monitoring System through AMQP and CoAP

F. Tsvetanov, M. Pandurski
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Abstract

Remote Patient Monitoring (RPM) is a healthcare solution that uses technology to monitor patients outside conventional healthcare settings. It is especially useful for people with chronic conditions or needing regular monitoring. One of the main reasons for the increase in the number of deaths each year is the increase in cardiovascular diseases, including hypertension. Online blood pressure monitoring offers many advantages but also potential challenges. This work reviews the key communication technologies and research challenges in the real-time transmission of measured blood pressure data. Delay in these systems is not tolerated as it involves human lives. To conduct the experimental studies, a prototype of an experimental intelligent system was created to study the delay and processor load of the RPI4 gateway. The measured blood pressure data is sent to the Things Board cloud using the AMQP and CoAP protocols. The experimental results are particularly useful for RPM system designers. The results of this research facilitate an informed decision on the choice of protocol that transmits the data from the gateway to the cloud in the process of designing remote patient monitoring systems.
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远程病人监护系统通过 AMQP 和 CoAP 传输数据的延迟
远程病人监护(RPM)是一种医疗保健解决方案,它利用技术在传统医疗机构之外对病人进行监护。它对慢性病患者或需要定期监测的患者尤其有用。每年死亡人数增加的主要原因之一是包括高血压在内的心血管疾病的增加。在线血压监测具有许多优势,但也存在潜在的挑战。这项工作回顾了实时传输测量血压数据的关键通信技术和研究挑战。这些系统中的延迟是不能容忍的,因为它涉及到人的生命。为了进行实验研究,我们创建了一个实验智能系统原型,以研究 RPI4 网关的延迟和处理器负载。测量到的血压数据通过 AMQP 和 CoAP 协议发送到 Things Board 云端。实验结果对 RPM 系统设计人员特别有用。这项研究的结果有助于在设计远程病人监测系统的过程中,就选择何种协议将数据从网关传输到云端做出明智的决定。
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