Fingerprint Sensor Integration in Smart Healthcare Emergency App: Enhancing Ambulance Navigation through Emergency Route Highlighting
This paper details the creation of an Emergency Medical Services (EMS) system utilizing the Internet of Things (IoT) and the Global Positioning System (GPS) to swiftly identify the closest hospital in urgent situations. The Blynk application serves as the IoT platform in this project. In the event o...
Published in: | 2024 20th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2024 - Conference Proceedings |
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Institute of Electrical and Electronics Engineers Inc.
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2-s2.0-85193986694 Azmin A.; Abdullah S.; Faiza Z.; Fauzi N.R.A.A.; Hadis N.S.M.; Rahiman W. Fingerprint Sensor Integration in Smart Healthcare Emergency App: Enhancing Ambulance Navigation through Emergency Route Highlighting 2024 2024 20th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2024 - Conference Proceedings 10.1109/CSPA60979.2024.10525512 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193986694&doi=10.1109%2fCSPA60979.2024.10525512&partnerID=40&md5=720eb37a26678a2e349033df3f71a1b3 This paper details the creation of an Emergency Medical Services (EMS) system utilizing the Internet of Things (IoT) and the Global Positioning System (GPS) to swiftly identify the closest hospital in urgent situations. The Blynk application serves as the IoT platform in this project. In the event of a road traffic accident, the ambulance response time is critical. Paramedics gain access to vital hospital data, including specialist availability, during emergencies. Hospitals receive notifications and patient vital sign information before the patient reaches the facility. By leveraging IoT, the GPS system tracks the nearest hospital, ensuring the collection of necessary hospital data. This real-time information is accessible via internet connectivity from the ambulance, alerting the nearest hospital. Such a system is poised to reduce mortality rates and enhance emergency operation services. © 2024 IEEE. Institute of Electrical and Electronics Engineers Inc. English Conference paper |
author |
Azmin A.; Abdullah S.; Faiza Z.; Fauzi N.R.A.A.; Hadis N.S.M.; Rahiman W. |
spellingShingle |
Azmin A.; Abdullah S.; Faiza Z.; Fauzi N.R.A.A.; Hadis N.S.M.; Rahiman W. Fingerprint Sensor Integration in Smart Healthcare Emergency App: Enhancing Ambulance Navigation through Emergency Route Highlighting |
author_facet |
Azmin A.; Abdullah S.; Faiza Z.; Fauzi N.R.A.A.; Hadis N.S.M.; Rahiman W. |
author_sort |
Azmin A.; Abdullah S.; Faiza Z.; Fauzi N.R.A.A.; Hadis N.S.M.; Rahiman W. |
title |
Fingerprint Sensor Integration in Smart Healthcare Emergency App: Enhancing Ambulance Navigation through Emergency Route Highlighting |
title_short |
Fingerprint Sensor Integration in Smart Healthcare Emergency App: Enhancing Ambulance Navigation through Emergency Route Highlighting |
title_full |
Fingerprint Sensor Integration in Smart Healthcare Emergency App: Enhancing Ambulance Navigation through Emergency Route Highlighting |
title_fullStr |
Fingerprint Sensor Integration in Smart Healthcare Emergency App: Enhancing Ambulance Navigation through Emergency Route Highlighting |
title_full_unstemmed |
Fingerprint Sensor Integration in Smart Healthcare Emergency App: Enhancing Ambulance Navigation through Emergency Route Highlighting |
title_sort |
Fingerprint Sensor Integration in Smart Healthcare Emergency App: Enhancing Ambulance Navigation through Emergency Route Highlighting |
publishDate |
2024 |
container_title |
2024 20th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2024 - Conference Proceedings |
container_volume |
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container_issue |
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doi_str_mv |
10.1109/CSPA60979.2024.10525512 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193986694&doi=10.1109%2fCSPA60979.2024.10525512&partnerID=40&md5=720eb37a26678a2e349033df3f71a1b3 |
description |
This paper details the creation of an Emergency Medical Services (EMS) system utilizing the Internet of Things (IoT) and the Global Positioning System (GPS) to swiftly identify the closest hospital in urgent situations. The Blynk application serves as the IoT platform in this project. In the event of a road traffic accident, the ambulance response time is critical. Paramedics gain access to vital hospital data, including specialist availability, during emergencies. Hospitals receive notifications and patient vital sign information before the patient reaches the facility. By leveraging IoT, the GPS system tracks the nearest hospital, ensuring the collection of necessary hospital data. This real-time information is accessible via internet connectivity from the ambulance, alerting the nearest hospital. Such a system is poised to reduce mortality rates and enhance emergency operation services. © 2024 IEEE. |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
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language |
English |
format |
Conference paper |
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record_format |
scopus |
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Scopus |
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1809677884327985152 |