DocumentCode
429169
Title
Detection of hypervolemia with embedded systems
Author
Gandham, J.J. ; Bracio, B.R. ; Chen, C. ; Egolf, D. ; Jockey, G. ; Krozca, J. ; Breitenecker, F.
Volume
1
fYear
2004
fDate
1-5 Sept. 2004
Firstpage
882
Abstract
This work presents methods of biomedical signal processing and interpretation to detect hypervolemia as a cause for oxygen delivery disturbances. A model of the disease patterns for this respiratory disorder is derived and implemented on an embedded system. The model is designed in stateflow and simulated with Matlab using a database of intensive care unit patients to proved inputs for verification. The implementation is done over a wireless micro controller network.
Keywords
diseases; embedded systems; medical signal processing; patient treatment; pneumodynamics; software prototyping; Matlab; biomedical signal processing; disease pattern; embedded system; hypervolemia; intensive care unit patient; oxygen delivery disturbance; respiratory disorder; wireless micro controller network; Biomedical signal processing; Databases; Diseases; Embedded system; Mathematical model; Virtual prototyping;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Print_ISBN
0-7803-8439-3
Type
conf
DOI
10.1109/IEMBS.2004.1403299
Filename
1403299
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