Commenced in January 2007
Paper Count: 31837
Software Architecture and Support for Patient Tracking Systems in Critical Scenarios
Abstract:In this work a new platform for mobile-health systems is presented. System target application is providing decision support to rescue corps or military medical personnel in combat areas. Software architecture relies on a distributed client-server system that manages a wireless ad-hoc networks hierarchy in which several different types of client operate. Each client is characterized for different hardware and software requirements. Lower hierarchy levels rely in a network of completely custom devices that store clinical information and patient status and are designed to form an ad-hoc network operating in the 2.4 GHz ISM band and complying with the IEEE 802.15.4 standard (ZigBee). Medical personnel may interact with such devices, that are called MICs (Medical Information Carriers), by means of a PDA (Personal Digital Assistant) or a MDA (Medical Digital Assistant), and transmit the information stored in their local databases as well as issue a service request to the upper hierarchy levels by using IEEE 802.11 a/b/g standard (WiFi). The server acts as a repository that stores both medical evacuation forms and associated events (e.g., a teleconsulting request). All the actors participating in the diagnostic or evacuation process may access asynchronously to such repository and update its content or generate new events. The designed system pretends to optimise and improve information spreading and flow among all the system components with the aim of improving both diagnostic quality and evacuation process.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1061968Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1878
 NATO STANAG, AJP 4.10(a): Allied Joint Medical Doctrine, NATO, 2006.
 NATO STANAG, AJP 4.10.1: Medical Planning, NATO, 2006.
 NATO STANAG, AJP 4.10.2: Medical Evacuation, NATO, 2006.
 Google Inc., Android. An Open Handset Alliance Project, available at http://code.google.com/android, 2008.
 Cornetta, G., Santos, D. J., and Godara, B., A Sub-mW Low Noise Amplifier for Wireless Sensor Networks, Proceedings of the World Academy of Science Engineering and Technology, 34(10), pp. 835-838, 2008.
 Cornetta, G., and Santos, D. J., Low-power Multistage Low Noise Amplifiers for Wireless Sensor Networks, International Journal of Electronics, 96(1), pp. 63-77, 2009.
 MySQL AB, MySQL. Open Source Database, available at http://www.mysql.com, 2008.
 Jones, R., Roundup Issue Tracker, Project Hompage, available at http://roundup.sourceforge.net, 2008.
 Hipp, Wyrick & Company Inc., SQLite, Project Hompage, available at http://www.sqlite.org, 2008.
 Prabaharan, K., Lavanya, J., Goh, K.W., Kim, Y., and Soh, C.B., "Distributed Architecture Toward Telediagnosis", in Proceedings of 1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, pp. 105-108, 2006.
 Qt Software ASA. Qt for Open Source C++ development on Embedded Linux, available at http://trolltech.com, 2008.
 Xapian, Xapian, Open Source Search Engine Library. Project Homepage, available at http://www.xapian.org, 2008.
 Yee, K.-P., Roundup. An Issue-Tracking System for Knowledge Workers, retrieved November 21st, 2008, from http://zesty.ca/sc-roundup.html, 2000.
 White, C.C., Fang, D., Eung-Hun K., Loeber, W., and Yongmin, K., "Improving Healthcare quality through Distributed Diagnosis and Home Healthcare", in Proceedings of 1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, pp. 168-172, 2006.
 Bulusu, N., and Jha, S. (Eds.), Wireless Sensor Networks: A System Perspective, Norwood, MA: Artech House, 2005.
 Zhao, F., and Guibas, L., Wireless Sensor Networks. An Information Processing Approach, San Francisco, CA: Morgan Kauffman, 2004.