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International Journal of Telemedicine and Applications
Volume 2013 (2013), Article ID 457491, 12 pages
http://dx.doi.org/10.1155/2013/457491
Research Article

Open-Source Telemedicine Platform for Wireless Medical Video Communication

1Department of Computer Science, University of Cyprus, 1678 Nicosia, Cyprus
2Department of Electrical and Electronic Engineering, Imperial College, London SW7 2AZ, UK
3The Cyprus Institute of Neurology and Genetics, 1683 Nicosia, Cyprus

Received 31 October 2012; Accepted 23 January 2013

Academic Editor: E. A. Krupinski

Copyright © 2013 A. Panayides et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

An m-health system for real-time wireless communication of medical video based on open-source software is presented. The objective is to deliver a low-cost telemedicine platform which will allow for reliable remote diagnosis m-health applications such as emergency incidents, mass population screening, and medical education purposes. The performance of the proposed system is demonstrated using five atherosclerotic plaque ultrasound videos. The videos are encoded at the clinically acquired resolution, in addition to lower, QCIF, and CIF resolutions, at different bitrates, and four different encoding structures. Commercially available wireless local area network (WLAN) and 3.5G high-speed packet access (HSPA) wireless channels are used to validate the developed platform. Objective video quality assessment is based on PSNR ratings, following calibration using the variable frame delay (VFD) algorithm that removes temporal mismatch between original and received videos. Clinical evaluation is based on atherosclerotic plaque ultrasound video assessment protocol. Experimental results show that adequate diagnostic quality wireless medical video communications are realized using the designed telemedicine platform. HSPA cellular networks provide for ultrasound video transmission at the acquired resolution, while VFD algorithm utilization bridges objective and subjective ratings.