Application for Continuous Health Monitoring using

Machine-to-Machine Communications

December 2011

João Prudêncio

Supervisors: Ana Aguiar, Daniel Lucani

1. Context

• Aging population 1;

• 48% of the US population suffer from at least one chronic ailment 2;

• Health care crisis, spending reached 15.5% of GDP by year of 2010 3.

Mobile-healthcare

1 World Health Organization. 2004. Active ageing: Towards age-friendly primary health care. WHO Library Cataloguing-in-Publication Data. http://whqlibdoc.who.int/publications/2004/9241592184.pdf (accessed November 22, 2011).

2 D.B. Kendall, K.Tremain, J. Lemieux, and S.R. Levine. 2003. Heatlhy Aging v. Chronic Illness Preparing Medicare for the New Health Care Challenge. Quoted in Shieh, Y.Y.; Tsai, F.Y.; Arash; Wang, M.D.; Lin. 2007. Mobile Healthcare: Opportunities and Challenges. Paper presented at International Conference on the Management of Mobile Business, July 9-11, in Toronto, Canada

3 Centers for Medicare and Medicaid Services (CMS). 2011. National Health Expenditures 2000-2010. http://www.cms.gov/ (accessed November 27, 2001)

2. Problem

• How to monitor the patients in near real time?;

• Achieve energy efficiency, security and reliability;

• Interoperability 1;

• Lack of open solutions for mobile healthcare.

1 Shin, Donghoon. 2011. M-healthcare revolution: an e-commerce perspective. Paper presented at First ACIS/JNU International Conference on Computers, Networks, Systems and Industrial Engineering, May 23-25.

3. Objectives

4. Solution Perspectives

5. Technologies

• Machine-to-Machine Communications

• The Extensible Messaging and Presence Protocol (XMPP)o Smack libraryo Strophe libraryo Openfire Server

• Android SDK

• Web technologies: PHP, HTML, CSS, Javascript

6. Work Plan

Application for Continuous Health Monitoring using

Machine-to-Machine Communications

December 2011

João Prudêncio

Supervisors: Ana Aguiar, Daniel Lucani