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6th Internet World Congress for Biomedical Sciences

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NEMESIS: A new telemedicine approach for co-operative work on cardiology

Rafael Magdalena(1), Javier Calpe Maravilla(2), Juan Guerrero(3), Antonio J. Serrano López(4), José David Martín Guerrero(5)
(1)Electronic Engineering Dpt.. University of Valencia - Burjasot. Spain
(2)dpto Ingeniería electronica. Facultad de Fisicas - Burjassot/Valencia. Spain
(3)Departamento de Electrónica. Universidad de Valencia - Burjassot. Spain
(4)Dpto. Electrónica. Universidad de Valencia - Burjasot. Spain
(5)G.P.D.S. Departament d´Enginyeria Electrònica. Universitat de València - Burjassot. Spain

[ABSTRACT] [INTRODUCTION] [MATERIAL & METHODS] [RESULTS] [IMAGES] [CONCLUSIONS] [BIBLIOGRAPHY] [Discussion Board]
INTRODUCTION Previous: APPLICATION OF A RECURSIVE NON-LINEAR ADAPTIVE FILTER
 TO RECOVER FOETAL ELECTROCARDIOGRAM. Previous: ACQUISITION AND ANALYSIS OF RR TEMPORAL SERIES FROM HOLTER RECORDINGS Previous: Neural  Networks for the Detection of EEG Arousal During Sleep. RESULTS
[New Technology]
Next: Decision Making Aid for Digoxin Administration with Neural Networks
[Cardiolovascular Diseases]
Next: Decision Making Aid for Digoxin Administration with Neural Networks
[Health Informatics]
Next:  Determination of the Protection  Level for Post Chemotherapy Emesis with
a Multilayer Perceptron.

MATERIAL & METHODS

Internet has been the selected backbone to hold our application. It offers a privileged position in the global networks´ frame. It is cheap, wide extended, easily obtainable (it only needs a phone line), available for every operating system and with powerful protocols. With very little money and a simple phone line we can have a 56Kbps bandwidth channel, most of the times enough for usual needs. If higher bandwidth is required, ISDN access starts on 128Kbps, which fulfils the application requirements, maintaining costs low. Often proprietary and dedicated networks are not flexible and very expensive.

The application has been developed on a standard PC (P200MMX 64MB RAM), a common computer in every cardiology service. Java has been the programming language selected. The choice relies on two main characteristics: platform independence and network orientation. So Java´s choosing has been neither fanciful nor capricious. Several Integrated Development Environments (IDE) would have brought a similar application with a lower time developing cost, like Microsoft´s Visual Basic; but Sun´s Java offers portability, program once and run always and on different computers. Only specific hardware dependant modules (acquisition, videoconference) are platform-dependent, but they are only small application subsets. Java is endorsed by developers community, is a multiplatform language, robust and network oriented, being the last one a main advantage on the development. The selected IDE was IBM´s Visual Age 2.0, with JDK 1.1.6 and JFC 1.1. This is a user friendly, very intuitive and powerful IDE. This JDK has Swing 1.0.2, that produces applications with appearance independent from the platform, and this characteristic has been used in order to obtain an application with the same aspect on every operating system. This JDK version supports internationalisation, which allows adapting the application to every particular country where it is used. The application is programmed in Spanish, but it is easy to translate it into English or local languages, without recompiling(2).


Discussion Board
Discussion Board

Any Comment to this presentation?

[ABSTRACT] [INTRODUCTION] [MATERIAL & METHODS] [RESULTS] [IMAGES] [CONCLUSIONS] [BIBLIOGRAPHY] [Discussion Board]

INTRODUCTION Previous: APPLICATION OF A RECURSIVE NON-LINEAR ADAPTIVE FILTER
 TO RECOVER FOETAL ELECTROCARDIOGRAM. Previous: ACQUISITION AND ANALYSIS OF RR TEMPORAL SERIES FROM HOLTER RECORDINGS Previous: Neural  Networks for the Detection of EEG Arousal During Sleep. RESULTS
[New Technology]
Next: Decision Making Aid for Digoxin Administration with Neural Networks
[Cardiolovascular Diseases]
Next: Decision Making Aid for Digoxin Administration with Neural Networks
[Health Informatics]
Next:  Determination of the Protection  Level for Post Chemotherapy Emesis with
a Multilayer Perceptron.
Rafael Magdalena, Javier Calpe Maravilla, Juan Guerrero, Antonio J. Serrano López, José David Martín Guerrero
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Last update: 12/01/00