An intelligent IoT emergency vehicle warning system using RFID and Wi-Fi technologies for emergency medical services
| Autor: | Yeong-Lin Lai, Yung Hua Chou, Li Chih Chang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
020205 medical informatics
Computer science Controller (computing) Ambulances Biomedical Engineering Biophysics Health Informatics Bioengineering 02 engineering and technology Computer security computer.software_genre Biomaterials Emergency vehicle 0202 electrical engineering electronic engineering information engineering medicine Emergency medical services Humans Internet Warning system business.industry Accidents Traffic medicine.disease Siren (codec) Radio Frequency Identification Device Identification (information) 020201 artificial intelligence & image processing Medical emergency Internet of Things business computer Wireless Technology Intersection (aeronautics) Information Systems |
| Zdroj: | Technology and health care : official journal of the European Society for Engineering and Medicine. 26(1) |
| ISSN: | 1878-7401 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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