Knowledge based health monitoring during driving

Abstract

Knowledge based system is considered most innovative technology in smart healthcare monitoring system which is able to demonstrate real-time physiological parameters in computer and mobile platform and diagnosis health status. Driving has been an integrated part of our life and sometimes stress and health abnormality arises during driving, specially for elderly drivers. Among all kinds of health problems, stroke is most deadly diseases and real-time health monitoring is desired to detect stroke onset during regular activities. The aim of our study is to develop a knowledge base health monitoring system for elderly drivers using air cushion seat and IoT (Internet of things) devices in order to detect health abnormality such as stroke onset during driving. We have also developed a health monitoring system air cushion based body balance system and IoT devices. This system can monitor ECG, EEG, heart rate, seat pressure balance data, face/eye tracking etc. using IoT sensors, generate alert and send message to relatives and emergency services if any health abnormality happens during driving to provide emergency assistance. Knowledge based health monitoring system extract feature and pattern of physiological parameters; and compare extracted knowledge with real-time health data and deliver a significant status output as a service.