Title :
Intensive Care Cloud: Exploiting cloud infrastructures for near real-time vital sign analysis in intensive care medicine
Author :
Stylianides, N. ; Gjermundrod, H. ; Dikaiakos, M. ; Kyprianou, T.
Author_Institution :
Dept. Comput. Sci., Univ. of Cyprus, Nicosia, Cyprus
Abstract :
This paper introduces a novel, open architecture cloud oriented framework named Intensive Care Cloud, ICCloud. ICCloud main objective is to provide a) a common repository to store anonymized vital sign parameters retrieved from intensive care bedside medical devices and b) exploit massive computational resources to analyze vital sign parameters. ICCloud uses a simplified data model (cloud tables) to reduce the complexity of the deployment and the cost of usage of the infrastructure. These cloud tables are accessed only within the cloud infrastructure (cloud jobs) using only inbound network traffic. Pre-allocated working nodes (virtual machines used only for processing) are used to execute jobs implementing scoring functions or data analysis algorithms.
Keywords :
cloud computing; data analysis; health care; virtual machines; ICCloud; data analysis algorithms; exploiting cloud infrastructures; intensive care cloud; intensive care medicine; near real-time vital sign analysis; network traffic; open architecture cloud oriented framework; virtual machines; vital sign parameters; Data analysis; Data models; Hospitals; Medical diagnostic imaging; Real-time systems; Time series analysis; Cloud medical databases; Intensive Care; Near real time vital sign processing; Open Repository; Vital sign analysis;
Conference_Titel :
Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on
Conference_Location :
Larnaca
Print_ISBN :
978-1-4673-4357-2
DOI :
10.1109/BIBE.2012.6399697