Non-intrusive System for Monitoring the Risks of Sudden Infant Death Syndorme

Sudden Infant Death Syndrome (SIDS) is associated with the sudden and unexpected death of a child under the age of one who is apparently healthy. This unforeseen death, in most cases has no explanation. Although its causes are not known with certainty, we do know of the risks that can trigger them. This work presents a network of sensors to monitor the main risk factors in this pathology, such as: temperature, humidity or the level of gases in the environment. A non-invasive system is proposed since the sensors are not in direct contact with the infant, unlike most monitoring systems available today. In particular, a virtual organization of agents has been developed, it is capable of integrating different sensors on an open and low cost hardware platform.

[1]  F. Hauck,et al.  Sudden infant death syndrome , 2007, The Lancet.

[2]  Justino Rodriguez-Alarcon Gomez,et al.  Episodios aparentemente letales en las primeras dos horas de vida durante el contacto piel con piel. Incidencia y factores de riesgo , 2011 .

[3]  María José Aguilar Cordero,et al.  Tratado de enfermería infantil: cuidados pediátricos , 2002 .

[4]  Javier Bajo,et al.  Ambient Agents: Embedded Agents for Remote Control and Monitoring Using the PANGEA Platform , 2014, Sensors.

[5]  Magalys Martínez Silva,et al.  Síndrome de la muerte súbita del lactante , 2014 .

[6]  Gabriel Villarrubia,et al.  Wireless controller and smartphone based interaction system for electric bicycles. , 2016 .

[7]  Fernando De la Prieta,et al.  JOUR-MAS: a multi-agent system approach to help journalism management , 2015, DCAI 2015.

[8]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[9]  P. Jang,et al.  Properties of Fe-Al Cores Made From Fe-Al Powders Annealed in a Damp Hydrogen Atmosphere , 2013, IEEE Transactions on Magnetics.

[10]  Hung Cao,et al.  An Infant Monitoring System Using CO/sub 2/ Sensors , 2007, 2007 IEEE International Conference on RFID.

[11]  E. Ziganshin,et al.  UWB Baby Monitor , 2010, 2010 5th International Confernce on Ultrawideband and Ultrashort Impulse Signals.

[12]  Eric Paulos,et al.  inAir: measuring and visualizing indoor air quality , 2009, UbiComp.

[13]  Daniel Hernández de La Iglesia,et al.  Monitoring and analysis of vital signs of a patient through a multi-agent application system , 2016 .

[14]  Kun Li,et al.  User-Centric Indoor Air Quality Monitoring on Mobile Devices , 2013, AI Mag..

[15]  Chung-Chih Lin,et al.  An Intelligent Wireless Sensing and Control System to Improve Indoor Air Quality: Monitoring, Prediction, and Preaction , 2015, Int. J. Distributed Sens. Networks.

[16]  Javier Bajo,et al.  PANGEA: A New Platform for Developing Virtual Organizations of Agents , 2013 .

[17]  Tsang-Chu Yu,et al.  Wireless sensor networks for indoor air quality monitoring. , 2013, Medical engineering & physics.

[18]  Daniel Hernández de La Iglesia,et al.  Pollen Allergies Prediction through Historical Data in Mobile Devices , 2015 .

[19]  Daniel Hernández de La Iglesia,et al.  Multi agent gathering waste system , 2015, DCAI 2015.