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Issue title: Papers from the International Multi-Conference on Engineering and Technology Innovation 2016 (IMETI2016), 28 Oct.–1 Nov. 2016, Taichung, Taiwan
Guest editors: Wen-Hsiang Hsieh
Article type: Research Article
Authors: Lai, Yeong-Lin* | Chou, Yung-Hua | Chang, Li-Chih
Affiliations: Department of Mechatronics Engineering, National Changhua University of Education, Changhua 50007, Taiwan
Correspondence: [*] Corresponding author: Yeong-Lin Lai, Department of Mechatronics Engineering, National Changhua University of Education, Changhua 50007, Taiwan. E-mail: yllai@cc.ncue.edu.tw.
Abstract: BACKGROUND: Collisions between emergency vehicles for emergency medical services (EMS) and public road users have been a serious problem, impacting on the safety of road users, emergency medical technicians (EMTs), and the patients on board. OBJECTIVE: The aim of this study is to develop a novel intelligent emergency vehicle warning system for EMS applications. METHODS: The intelligent emergency vehicle warning system is developed by Internet of Things (IoT), radio-frequency identification (RFID), and Wi-Fi technologies. RESULTS: The system consists of three major parts: a system trigger tag, an RFID system in an emergency vehicle, and an RFID system at an intersection. The RFID system either in an emergency vehicle or at an intersection contains a controller, an ultrahigh-frequency (UHF) RFID reader module, a Wi-Fi module, and a 2.4-GHz antenna. In addition, a UHF ID antenna is especially designed for the RFID system in an emergency vehicle. The IoT system provides real-time visual warning at an intersection and siren warning from an emergency vehicle in order to effectively inform road users about an emergency vehicle approaching. CONCLUSION: The developed intelligent IoT emergency vehicle warning system demonstrates the capabilities of real-time visual and siren warnings for EMS safety.
Keywords: Emergency medical service (EMS), emergency vehicle, Internet of Things (IoT), radio-frequency identification (RFID), Wi-Fi
DOI: 10.3233/THC-171405
Journal: Technology and Health Care, vol. 26, no. 1, pp. 43-55, 2018
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