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
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