Sensors 2018, 18(3), 757; https://doi.org/10.3390/s18030757
A Context-Aware Indoor Air Quality System for Sudden Infant Death Syndrome Prevention
Daniel H. De La Iglesia 1,*
, Juan F. De Paz 1, Gabriel Villarrubia González 1, Alberto L. Barriuso 1 and Javier Bajo 2
, Juan F. De Paz 1, Gabriel Villarrubia González 1, Alberto L. Barriuso 1 and Javier Bajo 2
1
BISITE Digital Innovation Hub., University of Salamanca, Edificio Multiusos I+D+i, C/Espejo SN, 37007 Salamanca, Spain
2
Artificial Intelligence Department, Polytechnic University of Madrid, Campus Montegancedo s/n, Boadilla del Monte, 28660 Madrid, Spain
*
Author to whom correspondence should be addressed.
Received: 2 February 2018 / Revised: 23 February 2018 / Accepted: 27 February 2018 / Published: 2 March 2018
(This article belongs to the Special Issue Smart Decision-Making)
Abstract
Context-aware monitoring systems designed for e-Health solutions and ambient assisted living (AAL) play an important role in today’s personalized health-care services. The majority of these systems are intended for the monitoring of patients’ vital signs by means of bio-sensors. At present, there are very few systems that monitor environmental conditions and air quality in the homes of users. A home’s environmental conditions can have a significant influence on the state of the health of its residents. Monitoring the environment is the key to preventing possible diseases caused by conditions that do not favor health. This paper presents a context-aware system that monitors air quality to prevent a specific health problem at home. The aim of this system is to reduce the incidence of the Sudden Infant Death Syndrome, which is triggered mainly by environmental factors. In the conducted case study, the system monitored the state of the neonate and the quality of air while it was asleep. The designed proposal is characterized by its low cost and non-intrusive nature. The results are promising. View Full-TextKeywords:
context-aware; SIDS; non-intrusive; e-health; pediatric
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De La Iglesia, D.H.; De Paz, J.F.; Villarrubia González, G.; Barriuso, A.L.; Bajo, J. A Context-Aware Indoor Air Quality System for Sudden Infant Death Syndrome Prevention. Sensors 2018, 18, 757.
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