DocumentCode :
2067172
Title :
Analysing biomedical data with state machines
Author :
Bracio, B.R. ; Bretschneide, T. ; Krozca, J. ; Breitenecker, F.
Author_Institution :
Dept. of Electr. & Comput. Eng., Idaho Univ., Moscow, ID, USA
fYear :
2001
fDate :
18-21 Nov. 2001
Firstpage :
287
Lastpage :
290
Abstract :
The early detection of disorders of oxygen delivery to tissues of intensive care unit patients is of vital importance for them: State machines had been used to model four major disorders and the multiple scenarios identifying those. An existing simulation model of the human respiratory system had been extended with those models to detect oxygen related pathological conditions. The system is able to detect the disorders based on a given data set. The validation of the system had been done with offline data of ICU patients.
Keywords :
digital simulation; finite state machines; medical diagnostic computing; oxygen; patient monitoring; O2; human respiratory system; intensive care unit patients; oxygen delivery disorders detection; oxygen related pathological conditions; simulation model; state machines; tissues; Australia; Bioinformatics; Biomedical engineering; Computer science; Data analysis; Diseases; Humans; Logic; Pathology; Sequential circuits;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Systems Conference, The Seventh Australian and New Zealand 2001
Print_ISBN :
1-74052-061-0
Type :
conf
DOI :
10.1109/ANZIIS.2001.974092
Filename :
974092
Link To Document :
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