Integration of IoT, Edge Computing and Cloud Computing for Monitoring and Controlling Automated External Defibrillator Cabinets in Emergency Medical Service

One of the most significant current discussions in Emergency Medical Service (EMS) is when an accident occurs and someone is injured, or when patients with acute cardiac arrest patients need to call the ambulance for immediate assistance. A major problem with this kind of situation is ambulance or rescue do not know the exact location of the victim, waste time in searching for victims which sometimes causes could not save their life. Another problem found that sometime when the rescue came, there was no AED (Automated External Defibrillator) with them, which if the rescue knew where the AED is, can go to get the AED to save the patient's life in a timely manner. Therefore, the objectives of this research are to develop the emergency platform that monitors the location of the AEDs and control the opening/closing of the AED cabinets through the App. Also, the user can check the status of the AED through the App. This platform also specifies the exact location of the accident via the GPS system. Further statistical tests revealed that the location of the AED has 95% accuracy, can be controlled accurately 96%, with the average response time through the App 658 ms. The results indicate that this platform supports EMS services more effective.