DocumentCode :
2037912
Title :
A biosignal analysis system applied for developing an algorithm predicting critical situations of high risk cardiac patients by hemodynamic monitoring
Author :
Hayn, D. ; Jammerbund, B. ; Kollmann, A. ; Schreier, G.
Author_Institution :
AIT Austrian Inst. of Technolog GmbH, Graz, Austria
fYear :
2009
fDate :
13-16 Sept. 2009
Firstpage :
629
Lastpage :
632
Abstract :
A software system for efficient development of high quality biosignal processing algorithms and its application for the Computers in Cardiology Challenge 2009 Predicting Acute Hypotensive Episodes is described. The system is part of a medical research network, and supports import of several standard and non-standard data formats, a modular and therefore extremely flexible signal processing architecture, remote and parallel processing, different data viewers and a framework for annotating signals and for validating and optimizing algorithms. Already in 2001, 2004 and 2006 the system was used for implementing algorithms that successfully took part in the Challenges, respectively. In 2009 we received a perfect score of 10 out of 10 in event 1 and a score of 33 out of 40 in event 2 of the Challenge.
Keywords :
blood pressure measurement; cardiology; medical computing; medical signal processing; optimisation; parallel processing; acute hypotensive episodes; biosignal analysis system; biosignal processing algorithms; critical situation prediction algorithm; hemodynamic monitoring; high risk cardiac patients; optimizing algorithms; parallel processing; remote processing; software system; Algorithm design and analysis; Biomedical monitoring; Computerized monitoring; Hemodynamics; Patient monitoring; Prediction algorithms; Risk analysis; Signal processing algorithms; Software algorithms; Software systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology, 2009
Conference_Location :
Park City, UT
ISSN :
0276-6547
Print_ISBN :
978-1-4244-7281-9
Electronic_ISBN :
0276-6547
Type :
conf
Filename :
5445306
Link To Document :
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