Practical evaluation of GPRS use in a telemedicine system in Cyprus

Abstract

The unceasing emergence of new technologies in wireless and mobile telecommunication networks, combined with the simultaneous rapid advances in information technology, are leading to many new solutions in the field of telemedicine, thus offering more opportunities for improving further existing and supporting new advanced services for healthcare. The objective of this paper is to carry out a practical evaluation of the performance of the GSM and GPRS systems in the transmissionlreception of X-ray images and video in emergency orthopedics cases. As expected, the performance of GPRS is superior to that of GSM. The data transfer rate achieved with GPRS were in the range of 32 Kbps with the download time for typical Xray images of a file size of 200 Kbytes to the mobile device to be in the region of 60 seconds. Similar performance was also recorded in the case of a moving station (simulating the ambulance) for the biggest part of the journey. In conclusion, although the medical imaging downloading timing was in the range of a few minutes, the physicians were very pleased by the benefits offered by the system through the freedom of access, anywhere and anytime even in motion.

Adaptive Bandwidth Reservation and Scheduling for Efficient Wireless Telemedicine Traffic Transmission

“…We set a strict upper bound of just one channel frame (75 ms; this choice is explained in Section V) for the transmission delay of an ECG packet. We consider that a typical X-ray file size is 200 kB [6], [35] and that the aggregate X-ray file arrivals are Poisson distributed with mean λ X files/frame. Medical image files have sizes that range between 15 and 20 kB/image [7] and are Poisson distributed with mean λ I files/frame.…”

“…In addition to ambulance vehicles, it is also of critical importance for the provision of health care services at understaffed areas such as rural health centers, ships, and trains, airplanes, as well as home monitoring (e.g., Americans of age 85 and above represent the fastest growing population in their country; therefore, in the future, they will have to be monitored at home, because it will be impossible for everybody to stay at the hospital) [2], [6], [28], [29]. Mobile health care (M-health; "mobile computing, medical sensor, and communication technologies for health care" [4]) is a new paradigm that brings together the evolution of emerging wireless communications and network technologies with the concept of "connected health care" anytime and anywhere.…”

Time Is Perception Is Money – Web Response Times in Mobile Networks with Application to Quality of Experience

“…However, the steady-state loss and delay performance and throughput are targeted in the majority of contributions, see e.g. [3,[14][15][16][17]. For example, [16] studies the impact of variable rate and variable delay on longlived TCP performance in a Third Generation (3G) mobile network.…”

“…The study was based on traces from a 3G 1 X network taken around 2002, and simulation results based on the network simulator ns-2. Also, [17] finds that the download time is proportional to the file size, which implies a constant throughput. The study employs a variable file size from some ten KB 1 on.…”

Design of FPGA based NIOS-II Soft Core Processor for a wearable Tele Cardiac System

“…The major drawback of the above system is that the system did not have any wireless transceiver for communication purpose. Less than 60 minutes is known as "call to needle" time, within which the critical patient must be attended by the doctor in case of acute myocardial infarction [10].This has led to the development of a mobile Tele cardiac system [11] with GPRS transceiver and the functionality of the entire setup was verified in MATLAB environment and the same system was developed using ARM microcontroller. A lot of literature is found earlier that uses FPGA for the analysis of ECE signal.…”