The 7th International Conference on Ambient Systems, Networks and Technologies (ANT 2016) Patient Monitoring System Based on Internet of Things

Abstract The increased use of mobile technologies and smart devices in the area of health has caused great impact on the world. Health experts are increasingly taking advantage of the benefits these technologies bring, thus generating a significant improvement in health care in clinical settings and out of them. Likewise, countless ordinary users are being served from the advantages of the M-Health (Mobile Health) applications and E-Health (health care supported by ICT) to improve, help and assist their health. Applications that have had a major refuge for these users, so intuitive environment. The Internet of things is increasingly allowing to integrate devices capable of connecting to the Internet and provide information on the state of health of patients and provide information in real time to doctors who assist. It is clear that chronic diseases such as diabetes, heart and pressure among others, are remarkable in the world economic and social level problem. The aim of this article is to develop an architecture based on an ontology capable of monitoring the health and workout routine recommendations to patients with chronic diseases.

[1]  W. James,et al.  A life course approach to diet, nutrition and the prevention of chronic diseases , 2004, Public Health Nutrition.

[2]  Jadwiga Indulska,et al.  A survey of context modelling and reasoning techniques , 2010, Pervasive Mob. Comput..

[3]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.

[4]  Arkady B. Zaslavsky,et al.  Context Aware Computing for The Internet of Things: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[5]  Jorge Salvador Ierache,et al.  Arquitectura para el monitoreo remoto de funciones vitales en pacientes ambulatorios , 2006 .

[6]  G. Breithardt,et al.  ISHNE/EHRA Expert Consensus on Remote Monitoring of Cardiovascular Implantable Electronic Devices (CIEDs) , 2012, Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc.

[7]  H. Lan,et al.  SWRL : A semantic Web rule language combining OWL and ruleML , 2004 .

[8]  Kyung-Yong Chung,et al.  Knowledge-based health service considering user convenience using hybrid Wi-Fi P2P , 2016, Inf. Technol. Manag..

[9]  Juan F. Huete,et al.  Interaction System based on Internet of Things as Support for Education , 2013, EUSPN/ICTH.

[10]  Mohsen Mesgarani,et al.  Book Review: Diet, Nutrition and the Prevention of Chronic Diseases , 2003, World Health Organization technical report series.

[11]  Fang Hu,et al.  On the Application of the Internet of Things in the Field of Medical and Health Care , 2013, 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing.

[12]  N. Glynn,et al.  A review of the relationship between leg power and selected chronic disease in older adults , 2015, The journal of nutrition, health & aging.

[13]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[14]  Lida Xu,et al.  The internet of things: a survey , 2014, Information Systems Frontiers.

[15]  Bill N. Schilit,et al.  Context-aware computing applications , 1994, Workshop on Mobile Computing Systems and Applications.

[16]  Melanie Swan,et al.  Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0 , 2012, J. Sens. Actuator Networks.

[17]  Hongyang Zhang,et al.  Environmental Effect Removal Based Structural Health Monitoring in the Internet of Things , 2013, 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[18]  Youngki Lee,et al.  Sinabro: opportunistic and unobtrusive mobile electrocardiogram monitoring system , 2014, HotMobile.

[19]  Salvatore J. Stolfo,et al.  Scalability of Machine to Machine systems and the Internet of Things on LTE mobile networks , 2015, 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[20]  Qiang Chen,et al.  Design of a terminal solution for integration of in-home health care devices and services towards the Internet-of-Things , 2015, Enterp. Inf. Syst..

[21]  Sungyoung Lee,et al.  A Sleep Monitoring Application for u-lifecare Using Accelerometer Sensor of Smartphone , 2013, UCAmI.

[22]  Rodrigo Alvez Aplicación de telemedicina para la mejora de los sitemas de emergencias y diagnósticos clínicos , 2011 .