Development a prototype of Real-time Brain stroke detection system using Quad-chamber air cushion and IoT devices for elderly drivers.

Paper #:
  • 2018-01-0046

Published:
  • 2018-04-03
Abstract:
IoT (Internet of things) is considered most innovative technology in smart healthcare monitoring system which is able to show real-time physiological parameters in computer and mobile platform. Stroke is most deadly diseases and real-time monitoring is desired to detect stroke onset during regular activities. In this paper, we will focus on briefly explaining the framework of the elderly Brain disease detection services in-vehicle using IoT. The aim of our study is to develop a prototype of the real-time system for elderly drivers’ brain stroke detection system using quad-chamber air cushion and IoT devices in order to detect stroke onset during driving. This system can display ECG, EEG, heart rate, seat pressure data etc. using IoT sensors, generate the alarm and send messages to relatives and emergency services if any stroke onset happens.
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