Abstract
Stroke is a brain attack (or infarction of a portion of the brain) caused by the sudden disturbance of blood supply to that area. In recent years, even though the number of stroke-related deaths has been decreasing in Korea, the incidence of stroke is increasing, and the incidence increase with age. The chances of surviving from an acute and sudden infarction are much higher if the elderly people get emergency medical assistance within a few hours of occurrence. Elderly health monitoring and emergency alert system are mentioned as one of the main application areas of pervasive computing and biomedical applications. Moreover, a proactive elderly health monitoring system involves active capture of brain and body movement signals, signal analysis, communication, detection and warning processes. The primary objective of this research will be concerned itself with ambient assisted living issues for the successful detection and generation of alarms in cases of stroke onset, which will allow the timely delivery of medical assistance, to mitigate the long-term effects of these attacks.
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Acknowledgments
This work was supported by the National Research Council of Science & Technology (NST) grant by the Korea government (MSIP) (No. CRC-15-05-ETRI).
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Park, S.J. et al. (2017). Development of the Elderly Healthcare Monitoring System with IoT. In: Duffy, V., Lightner, N. (eds) Advances in Human Factors and Ergonomics in Healthcare. Advances in Intelligent Systems and Computing, vol 482. Springer, Cham. https://doi.org/10.1007/978-3-319-41652-6_29
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