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Introduction to AEDAn Automated External Defibrillator (AED) is a portable medical device that analyzes the heart's rhythm and, if necessary, delivers an electrical shock to help the heart re-establish an effective rhythm during sudden cardiac arrest (SCA). SCA occurs when the heart suddenly and unexpectedly stops beating, leading to a loss of blood flow to the brain and other vital organs. In such emergencies, time is of the essence, and using an AED, combined with Cardiopulmonary...
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优化无人机网络提供自动化外部除器

Justin J Boutilier1, Steven C Brooks1, Alyf Janmohamed1

  • 1From Department of Mechanical and Industrial Engineering (J.J.B., T.C.Y.C.), Division of Engineering Science (A.J.), Department of Family and Community Medicine (S.C.), and Department of Medicine (L.J.M.), University of Toronto, Ontario, Canada; Department of Emergency Medicine, Queen's University, Kingston, Ontario, Canada (S.C.B.); Rescu, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada (S.C.B., A.B., J.E.B., C.Z., S.C., L.J.M., T.C.Y.C.); Sunnybrook Centre for Prehospital Medicine, Toronto, Ontario, Canada (J.E.B., S.C.); and University of Toronto Institute for Aerospace Studies, Ontario, Canada (A.P.S.).

Circulation
|March 4, 2017
PubMed
概括

无人机运送自动外部除器 (AED) 可以显著减少医院外心脏骤停的响应时间. 一个由数学模型指导的优化无人机网络,

关键词:
自动化外部除器心脏骤停无人机优化情况恢复生命

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科学领域:

  • 紧急医疗
  • 机器人技术
  • 运营研究

背景情况:

  • 公众可访问的除程序对于医院外心脏骤停 (OHCA) 的生存至关重要.
  • 自动外部除器 (AED) 在OHCA场景中并不总是易于供旁观者使用.
  • 无人机提供了一个新的解决方案,

研究的目的:

  • 通过数学模型优化的无人机网络可以减少AED的到达时间.
  • 量化需要的无人机网络大小以更快地提供AED.
  • 评估协调无人机网络与特定区域部署的效率.

主要方法:

  • 在多伦多的53,702个OHCA案件中应用优化和排队的数学模型 (2006-2014).
  • 对无人机网络规模进行量化,以实现比以前的911响应时间更快1,2或3分钟的AED交付.
  • 与单独的区域网络相比,单一协调的无人机网络的资源减少分析.

主要成果:

  • 具体区域分析显示需要81个基地和100架无人机,
  • 观察到AED到达时间显著减少: 6分43秒 (城市) 和10分34秒 (农村).
  • 一个协调的网络需要39.5%更少的基地和30.0%更少的无人机提供可比的交付时间.

结论:

  • 一个优化的无人机网络,由一个新的数学模型提供信息,大大缩短了OHCA的AED交付时间.
  • 无人机部署是一种可行的策略,
  • 数学模型是优化无人机网络效率的关键.