OPNET Technologies
3400 International Drive, NW 
Washington, DC 20008
Tel: 202-364-4700
Fax: 202-364-8554
E-mail: mailto:[email protected]
Web: http://www.mil3.com/home.html

OPNET is a registered
trademark of OPNET Technologies
? 2000 OPNET Technologies 


 

Secure and Reliable Mobile Health Monitoring System

University: University of Texas at Dallas

Department: http://www.ee.utdallas.edu/

Lab: http://ecs.utdallas.edu/research/researchlabs/QoLT/index.html

Professor: Prof. Lakshman Tamil

Researcher: Syed Abdullah

 

Mobile health care is an emerging area of telemedicine that redefines the concept of connected health care; providing any-time-any-where access to healthcare. It brings the benefits of continuously evolving wireless communication technologies to address the challenges associated with ubiquitous health monitoring. Signal and image processing applications in e-health involve different type of signals which are not only bandwidth demanding but also require different QoS to support variety of services. Encrypted communication is also equally important to preserve the integrity and privacy of the data.

The Third and Fourth generation (3G/4G) wireless networks offer promising opportunities to deploy m-health applications due to their high transmission data rates and low transmission costs, The objective of our research is to analyze and design 3G/4G based wireless communication system for secured and reliable medical data transport. After careful study of available simulation platforms; OPNET was chosen due to its ease of use and availability of variety of simulation tools for the next generation wireless network. The goal of the simulation modeling is to analyze the capability of 3G/4G infrastructure to deliver reliable and secure medical data which includes bio-signals, medical images and real time video.  The assessment includes but not limited to

  • Packet drop rate
  • Throughput
  • End-to-end QoS
  • Delay and Jitter.

The data will then be used to build a secure and reliable ad-hoc 3G/4G network on demand. The system architecture will  comprise of several modules, entrusted with the acquisition, encryption and simultaneous transmission of medical data/image/video stream over wireless network. Furthermore, data prioritization and compression control will also be studied for offering an improved QoS.