Algorithmic State Machine Design for Timely Health Emergency Management in an IoT Environment

Fadi El-Hassan

Abstract

In emergency cases related to massive accidents, environmental disasters, and war time, health professionals face considerable challenges due to the high number of patients who are in need of emergency treatment. Research works attempt to propose effective in-hospital and pre-hospital smart emergency systems to reduce the mortality rate among the patients who desperately wait to receive appropriate care. This paper presents a model of a timely prehospital emergency management system that can be implemented as an interface to an Internet of Things (IoT) environment. This work presents the necessary stages for prehospital emergency environments, where many factors may make the timely management of emergency systems very difficult. The proposed model is based on an Algorithmic State Machine (ASM) that can be implemented in either hardware or software, providing an embedded system interface for IoT. Moreover, this paper provides a timing analysis for either a single emergency event or multiple simultaneous emergency events. Embedded systems’ developers can use the proposed model to produce an appropriate prehospital smart emergency solution.

Download


Paper Citation


in Harvard Style

El-Hassan F. (2020). Algorithmic State Machine Design for Timely Health Emergency Management in an IoT Environment.In Proceedings of the 9th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-403-9, pages 150-156. DOI: 10.5220/0009183301500156


in Bibtex Style

@conference{sensornets20,
author={Fadi El-Hassan},
title={Algorithmic State Machine Design for Timely Health Emergency Management in an IoT Environment},
booktitle={Proceedings of the 9th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2020},
pages={150-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009183301500156},
isbn={978-989-758-403-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Algorithmic State Machine Design for Timely Health Emergency Management in an IoT Environment
SN - 978-989-758-403-9
AU - El-Hassan F.
PY - 2020
SP - 150
EP - 156
DO - 10.5220/0009183301500156