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Multi-Agent Based Software Architecture for Remote Health Monitoring

机译:基于Multi-Agent的远程健康监控软件架构

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Objectives: Multi agent Architecture is a recent advancement in software engineering that focuses on improving performance of software packages and tools in varying applications. Methods/Statistical Analysis: Large number of architectures have been proposed for remote health monitoring applications which include data collection from remote patients and monitoring the condition. There is little work done on software systems monitoring multiple patients with multi-parametric approach from remote locations efficiently and faster. This paper presents a multi-agent architecture to monitor concurrently multiple physiological parameters of multiple patients situated at remote places. The architecture proposes three types of software agents such as patient controller interface agent, controller agent and server agent. Real time system can be scaled up to any number of patients being monitored for any variable number of physiological parameters. It is time critical application as the patients being monitored need immediately attention or treatment. Findings: For validating the proposed architecture the data has been collected for Temperature, blood pressure of patients and software agents designed were implemented and tested under multiple combinations of number of parameters and the patients. The test results proved that the proposed architecture is useful for efficient and quick monitoring of severely diseased people from remote places. Application/Improvements Tele-monitoring is widely used in a range of applications such as natural calamities like disaster, floods etc.
机译:目标:多代理架构是软件工程领域的最新进展,其重点是提高各种应用程序中软件包和工具的性能。方法/统计分析:已经为远程健康监测应用提出了许多架构,其中包括从远程患者收集数据并监测病情。在利用软件参数系统从远程位置高效,更快地监视多名患者的工作很少。本文提出了一种多代理架构,可同时监视位于偏远地区的多个患者的多个生理参数。该体系结构提出了三种类型的软件代理,例如患者控制器接口代理,控制器代理和服务器代理。实时系统可以按比例扩展到要监视的任何数量的生理参数的任何数量的患者。这是时间紧迫的应用,因为被监视的患者需要立即关注或治疗。结果:为了验证所建​​议的体系结构,已收集了有关温度,患者血压的数据,并在多种参数和患者的多种组合下实施和测试了设计的软件代理。测试结果证明,所提出的体系结构可用于对来自偏远地区的重病患者进行高效,快速的监控。应用/改进远程监控广泛用于各种应用中,例如灾难,洪水等自然灾害。

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