RT Conference Proceedings
T1 Complex event processing for health monitoring
A1 Perez-Vereda, Alejandro
A1 Flores-Martín, Daniel
A1 Murillo, Juan M.
A1 Canal-Velasco, José Carlos
K1 Salud - Innovaciones tecnológicas
AB The increase of the life expectancy has become a problem in regions with a low population density. This fact is caused by the existence of small towns all far from one another and with the peculiarity of many elders with special health care living there. This situation increases in a high percentage the health costs of the region having to attend daily all these elders who need a close mon-itoring. We live in a IoT era with a huge quantity of new connected devices with lots of sensors. Taking advantage of this, it is possible to monitor these elders from the distance without having to cover the complete area of the region every day. This way, our approach is using a mobile centric architecture that permits the elders having a device which infers a health virtual profile of them with data from its sensors and from other smart devices like bands with pulsometers. At this point we propose using Complex Event Processing techniques to combine the data coming from all sources and analyze it to extract meaningful information for the doctors and caregivers and even detect important events like falls in real time.
YR 2018
FD 2018-11-26
LK https://hdl.handle.net/10630/16959
UL https://hdl.handle.net/10630/16959
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026