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An Architecture for an IoT-based Telecare System for the Elderly Using Big Data Analytics

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Articulo RCS (494.5Kb)
Fecha
2020-05-05
Autor
Echevarría Díaz, Jesús Miguel
Sánchez Cervantes, José Luis
Colombo Mendoza, Luis Omar
Alor-Hernández, Giner
López Martínez, Ignacio
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Resumen
The accelerated aging of the population is a real and constant situation worldwide. Long-lived population is the most affected demographic sector in terms of health and home safety. The advent of Big Data, in conjunction with the Internet of Things (IoT) omnipresence, have made telecare-based systems an increasingly desirable alternative when dealing with the treatment and remote care of the elderly and frail, allowing them to go on with their lives in a normal, almost independent manner. This situation has spawned an ever increasing demand for innovative telecare solutions. In order to present an alternative solution to the problem at hand, this paper proposes a telecare system architecture based on IoT and Big Data Analytics (BDA) to monitor the user’s vital signs and activities, send alerts to the caregivers whenever necessary, with the goal of detecting and preventing accidents in the home.
URI
http://www.micai.org/rcs/2020_149_5/An%20Architecture%20for%20an%20IoT-based%20Telecare%20System%20for%20the%20Elderly%20Using%20Big%20Data%20Analytics.pdf
http://repositorios.orizaba.tecnm.mx:8080/xmlui/handle/123456789/489
Temas
big data analytics
Internet of Things
telecare
wearable
decision tree.
Tipo
Article
Colecciones
  • Artículos (MSC) [39]

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