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Dynamic AED Allocation and Reallocation for SCA Rescue Using Modified MCLP

机译:使用修改后的MCLP进行SCA救援的动态AED分配和重新分配

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Sudden Cardiac Arrest (SCA) is a condition in which the heart suddenly and unexpectedly stops beating. SCA usually causes death if it is not treated within minutes. A defibrillator is a device that can return the disorganized heart back into a normal rhythm by delivering a life-saving shock, while taking into consideration the critical time before complete damage of the brain occurs.To minimize the out-of-hospital SCA consequences and optimize the coverage of the population, placement and access to Automated External Defibrillator (AED) in mission critical intervention, are the main objectives of our paper. The fast access to the nearest AED within a short delay is very crucial and important for increasing the survival rates. For this reason, our study in this paper consists in developing two new methods for the deployment of AEDs in a given area in order to cover the maximum number of existing population during different times of the day. We propose two new techniques for optimizing the coverage, inspired from the Maximal Covering Location Problem (MCLP) method called Real-Time to Destination MCLP (RTDMCLP) and Dynamic Real-Time to Destination MCLP (DRTDMCLP). Those two techniques show an improved result in term of covered population comparing to the MCLP method.
机译:心脏骤停(SCA)是心脏突然而意外地停止跳动的状态。如果SCA在数分钟内未得到治疗,通常会导致死亡。除颤器是一种可以通过发出挽救生命的电击使杂乱无章的心脏恢复正常心律的设备,同时考虑到大脑完全受损之前的关键时间。在关键任务干预中优化人群的覆盖范围,放置和使用自动体外除颤器(AED),是本文的主要目标。在短的延迟时间内快速访问最近的AED是至关重要的,对于提高存活率非常重要。因此,我们在本文中的研究在于开发两种在给定区域内部署AED的新方法,以覆盖一天中不同时间的最大现有人口数量。我们提出了两种用于优化覆盖范围的新技术,这些技术的灵感来自最大覆盖位置问题(MCLP)方法,称为实时到目的地MCLP(RTDMCLP)和动态实时到目的地MCLP(DRTDMCLP)。与MCLP方法相比,这两种技术在覆盖人口方面显示出改进的结果。

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