Strategies to optimize AED placements

This Final Year Report analyses and reviews the current state of Automated External Defibrillators (AEDs) and their placement strategies in the Ang Mo Kio estate of Singapore. In the case of an out of hospital cardiac arrest (OHCA), time is of the utmost importance and for every minute that the a...

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Main Author: Harika, Palla
Other Authors: Cai Wentong
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2019
Subjects:
Online Access:https://hdl.handle.net/10356/136491
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author Harika, Palla
author2 Cai Wentong
author_facet Cai Wentong
Harika, Palla
author_sort Harika, Palla
collection NTU
description This Final Year Report analyses and reviews the current state of Automated External Defibrillators (AEDs) and their placement strategies in the Ang Mo Kio estate of Singapore. In the case of an out of hospital cardiac arrest (OHCA), time is of the utmost importance and for every minute that the arrest goes untreated, the chance of survival decreases by 10%. The addition of public-access AEDs is showing promising results in decreasing collapse-toshock times among OHCA patients and bystander access to these medical devices ensure that the necessary care to victims of OHCA is provided prior to arrival of emergency responders. Prior studies have implemented various methods such as mathematical optimization based on historical OHCA data and weighting of the different parameters like time, population density, against each other. These methods incorporate spatial covariates on OHCA occurrence, but do not provide precise distance coverage which are critical to the initial intent of such location analysis research. The purpose of this study is to provide a more holistic approach and method for generating placement strategies in the public estates of Singapore. This report aims to firstly visualize the differences in OHCA occurrences between the various years and study the effects on coverage by taking into account location hours-of-operation of the deployed devices. Next the novelty of this study is in (1) the use of route-based walking time instead of straight-line approximations, (2)the use of multiple strategies to balance decision-maker objectives; and (3) the implementation of an interactive decision-maker tool for observing effects on coverage. The approach is deployed and evaluated for a case study in the Ang Mo Kio Town, Singapore. The AED locations at the end of 2016 and OHCA data from 2011 up until 2016 was used in visualizations and risk analysis.
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spelling ntu-10356/1364912020-01-03T07:35:32Z Strategies to optimize AED placements Harika, Palla Cai Wentong School of Computer Science and Engineering ASWTCAI@ntu.edu.sg Engineering::Computer science and engineering This Final Year Report analyses and reviews the current state of Automated External Defibrillators (AEDs) and their placement strategies in the Ang Mo Kio estate of Singapore. In the case of an out of hospital cardiac arrest (OHCA), time is of the utmost importance and for every minute that the arrest goes untreated, the chance of survival decreases by 10%. The addition of public-access AEDs is showing promising results in decreasing collapse-toshock times among OHCA patients and bystander access to these medical devices ensure that the necessary care to victims of OHCA is provided prior to arrival of emergency responders. Prior studies have implemented various methods such as mathematical optimization based on historical OHCA data and weighting of the different parameters like time, population density, against each other. These methods incorporate spatial covariates on OHCA occurrence, but do not provide precise distance coverage which are critical to the initial intent of such location analysis research. The purpose of this study is to provide a more holistic approach and method for generating placement strategies in the public estates of Singapore. This report aims to firstly visualize the differences in OHCA occurrences between the various years and study the effects on coverage by taking into account location hours-of-operation of the deployed devices. Next the novelty of this study is in (1) the use of route-based walking time instead of straight-line approximations, (2)the use of multiple strategies to balance decision-maker objectives; and (3) the implementation of an interactive decision-maker tool for observing effects on coverage. The approach is deployed and evaluated for a case study in the Ang Mo Kio Town, Singapore. The AED locations at the end of 2016 and OHCA data from 2011 up until 2016 was used in visualizations and risk analysis. Bachelor of Engineering (Computer Engineering) 2019-12-19T08:38:56Z 2019-12-19T08:38:56Z 2019 Final Year Project (FYP) https://hdl.handle.net/10356/136491 en application/pdf Nanyang Technological University
spellingShingle Engineering::Computer science and engineering
Harika, Palla
Strategies to optimize AED placements
title Strategies to optimize AED placements
title_full Strategies to optimize AED placements
title_fullStr Strategies to optimize AED placements
title_full_unstemmed Strategies to optimize AED placements
title_short Strategies to optimize AED placements
title_sort strategies to optimize aed placements
topic Engineering::Computer science and engineering
url https://hdl.handle.net/10356/136491
work_keys_str_mv AT harikapalla strategiestooptimizeaedplacements