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Development of a Real-Time Stroke Detection System for Elderly Drivers Using Quad-Chamber Air Cushion and IoT Devices
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 03, 2018 by SAE International in United States
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IoT (Internet of things) is considered most innovative technology in smart healthcare monitoring system which is able to show real-time physiological parameters feed data to web cloud, analysis using machine learning, artificial intelligence and big data. Stroke is most deadly diseases and real-time monitoring is desired to detect stroke onset during regular activities. The aim of our study is to develop a Real-time health monitoring system for elderly drivers using air cushion seat and IoT devices in order to detect stroke onset during driving. We have also made a prototype of brain stroke detection system using Quad-chamber air cushion system and IoT devices. This system can measure ECG, EEG, heart rate, seat pressure balance data, face/eye tracking etc. using IoT sensors, compare real-time data with reference data, predict abnormality, generate alarm and send message to relatives and emergency services if any stroke onset happens in order to provide emergency assistance to driver.
- Se Jin Park - Korea Research Institute of Standards & Science
- Seunghee Hong - Korea Research Institute of Standards & Science
- Damee Kim - Korea Research Institute of Standards & Science
- Young Seo - Korea Research Institute of Standards & Science
- Iqram Hussain - Korea Research Institute of Standards & Science
- Jae Hun Hur - Daewon Precision
- Woojae Jin - Daewon Precision
CitationPark, S., Hong, S., Kim, D., Seo, Y. et al., "Development of a Real-Time Stroke Detection System for Elderly Drivers Using Quad-Chamber Air Cushion and IoT Devices," SAE Technical Paper 2018-01-0046, 2018, https://doi.org/10.4271/2018-01-0046.
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