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Reseach Article

SEAIoT: Scalable E-Health Architecture based on Internet of Things

by Omar Said, Amr Tolba
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 59 - Number 13
Year of Publication: 2012
Authors: Omar Said, Amr Tolba
10.5120/9612-4245

Omar Said, Amr Tolba . SEAIoT: Scalable E-Health Architecture based on Internet of Things. International Journal of Computer Applications. 59, 13 ( December 2012), 44-48. DOI=10.5120/9612-4245

@article{ 10.5120/9612-4245,
author = { Omar Said, Amr Tolba },
title = { SEAIoT: Scalable E-Health Architecture based on Internet of Things },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 59 },
number = { 13 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 44-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume59/number13/9612-4245/ },
doi = { 10.5120/9612-4245 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:04:09.382862+05:30
%A Omar Said
%A Amr Tolba
%T SEAIoT: Scalable E-Health Architecture based on Internet of Things
%J International Journal of Computer Applications
%@ 0975-8887
%V 59
%N 13
%P 44-48
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a scalable e-health architecture based on the Internet of Things (IoT) technology is proposed. In this suggested architecture, the clinic hardware can communicate with other clinics' hardware remotely with minimal or no human intervention, which is a key difference between the proposed architecture and the former ones. The idea of our architecture is to use the internet as a communication media between different architecture hardware. Each hardware clinic should be adapted to receive its required information from the internet. Using our system will provide the medical specialists with advantages such as scalability and flexibility. Furthermore, the cost and the effort will be decreased. The processes in our proposed architecture are executed on advanced medical devices in real time mode, which maximize the diagnosis accuracy and minimize the processing time. Finally, a case study, which is related to 2D and 4D ultrasonography devices, is demonstrated to clarify our architecture.

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Index Terms

Computer Science
Information Sciences

Keywords

E-Health Internet of Things Intelligent Web Application Cloud Computing