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Development of a Real-Time Stroke Detection System for Elderly Drivers Using Quad-Chamber Air Cushion and IoT Devices Korea Research Institute of Standards and Science
- Format:
- Conference/Event
- Author/Creator:
- Park, Park, author.
- Conference Name:
- WCX World Congress Experience (2018-04-10 : Detroit, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2018
- Summary:
- AbstractIoT (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 et cetera 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
- Notes:
- Vendor supplied data
- Publisher Number:
- 2018-01-0046
- Access Restriction:
- Restricted for use by site license
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