A Context-Aware Indoor Air Quality System for Sudden Infant Death Syndrome Prevention.

Sensors (Basel)

Artificial Intelligence Department, Polytechnic University of Madrid, Campus Montegancedo s/n, Boadilla del Monte, 28660 Madrid, Spain.

Published: March 2018

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876790PMC
http://dx.doi.org/10.3390/s18030757DOI Listing

Publication Analysis

Top Keywords

air quality
12
sudden infant
8
infant death
8
death syndrome
8
environmental conditions
8
context-aware indoor
4
air
4
indoor air
4
quality
4
system
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!