An IoT-Based Support System for Cars in Case of Critical Health Emergency

Abstract

In this technologically advancing world, a huge interest has been seen from the Automobile industry toward IoT applications, due to factors such as concern about the safety of the passengers, to satisfy customers' usability, and ultimately to offer cheaper but effective products which should maximize profit. The healthcare industry is more interested in how the IoT technology can lead to speedy and accurate treatment and how fast they could reach the neediest. This paper initially describes the practicability of equipping a vehicle with modern technology that can help patients to locate the nearest appropriate hospital by uploading their diagnosis into that system. Secondly, to reach the destination (i.e., Hospital) as soon as possible with the help of traffic police. For critical health issues such as Cardiac Arrest, Pregnancy (Labor pain), rapidly bleeding, snakebite, respiratory issues, gunshot fire and badly wounded, etc., where patient needs immediate medical assistance but unfortunately many of the times they could not make it due to traffic jams. While rushing to the hospital in case of medical emergency, it is risky to both communicate and locate the hospital at the same time while driving, so we have developed a system to establish a private network which will communicate via Cloud Thingspeak to the Hospital about our arrival. Also, the system will send patients' basic details, GPS location to them so that they'll get ready with their medical support. We will send vehicle information and GPS coordinates to the Traffic control room to get help in clearing the way for the patient's vehicle till the Hospital.

Emergency Vehicle Driving Assistance System Using Recurrent Neural Network with Navigational Data Processing Method

“…Gaikwad et al [28] proposed an Internet of Things (IoT)-based support system for cars in emergency health care systems. The system helps users identify nearby hospitals or healthcare centres and provides better routes for drivers to reach their destinations, reducing road waiting time.…”