NDLI: Using HSPA to improve the telemedical links on a moving ambulance

Content Provider	IEEE Xplore Digital Library
Author	Banitsas, Konstantinos Tachakra, Sapal Stefanidis, Euclid Boletis, Konstantinos
Copyright Year	2008
Description	Author affiliation: A&E department, North West London Hospitals, U.K. (Tachakra, Sapal) \|\| School of Engineering and Design, E&CE, Brunel University, West London, England (Banitsas, Konstantinos; Stefanidis, Euclid; Boletis, Konstantinos)
Abstract	As the demand for faster and more effective health care increases, there is a growing need to establish mobile, high-speed communications between a moving ambulance and a consultation point (usually a hospital). The recent addition of HSPA (HSDPA and HSUPA) into the UMTS suite provides higher bandwidth and reduced delays, making this choice ideal for real-time telemedical applications. In this paper, we will describe a set of scenarios that took place in a typical large city area, along with their equivalent results: a moving ambulance was linked with a consultation station using HSPA and several videoconferencing sessions were initiated. Best-case, worst-case and average scenarios were recorded. Furthermore, in areas where the UMTS reception was marginal, a repeater was placed on top of the vehicle to boost up the signal power and thus maintain the higher bandwidth. Finally, treating doctors were asked to evaluate the effectiveness of this system's outputs, based on a variety of objective and subjective criteria.
Starting Page	739
Ending Page	742
File Size	256047
Page Count	4
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4649258
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	3G HSPA HSDPA HSUPA ambulance telemedicine
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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