基于无人机的新型冠状病毒疫区便携式卫生诊所系统

IF 2.8 Q3 ENGINEERING, BIOMEDICAL
Mustafa Siham Qassab, Qutaiba Ibrahim Ali
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引用次数: 3

摘要

本研究应用世界卫生组织(WHO)指南重新设计了便携式卫生诊所(PHC),作为远程医疗系统(RHS),以遏制COVID-19的传播。此外,无人机系统不仅可以收集人员数据,还可以根据患者的测量读数分析,使用COVID-19分类过程(ct过程),根据冠状病毒的主要症状进行分类。无人机作为PHC平台成群使用,配备必要的传感器和必要的COVID-19药物,在实施全面宵禁时,可以自动在家门口进行检测和治疗。本文描述了一个完整的框架,并提出了目前正在生产的硬件来构建建议的系统,考虑了额外的有效载荷重量对无人机耐久性的影响。此外,利用OPNET仿真工具对部分应用程序进行了仿真。本文重点介绍了基于无人机群的系统设计和系统节点角色分配应考虑的主要方面,重点研究了群间和群内通信和协调的控制消息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A UAV-based portable health clinic system for coronavirus hotspot areas

A UAV-based portable health clinic system for coronavirus hotspot areas

This study applied the World Health Organization (WHO) guidelines to redesign the Portable Health Clinic (PHC), as a Remote Healthcare System (RHS), for the spread of COVID-19 containment. Additionally, the proposed drone-based system not only collects people data but also classifies the case according to the main symptoms of coronavirus using the COVID-19 triage process (CT-process) based on the analysis of measurement readings taken from patients, where drones are used in a swarm as a PHC platform and are equipped with the required sensors and essential COVID-19 medications for testing and treating people at their doorstep autonomously when a full curfew is imposed. This paper describes a complete framework and proposes currently in production hardware to build the suggested system, considering the effect of the extra payload weight on drone's durability. In addition, part of the proposed application was simulated using OPNET simulation tool. This work highlights the main aspects that should be considered when designing drone swarm-based system and distributing the roles on system nodes with the main focus on the controlling messages for inter-swarm and intra-swarm communication and coordination.

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来源期刊
Healthcare Technology Letters
Healthcare Technology Letters Health Professions-Health Information Management
CiteScore
6.10
自引率
4.80%
发文量
12
审稿时长
22 weeks
期刊介绍: Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.
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