DocumentCode
3599002
Title
Parameter estimation and event detection in a simple model of respiratory mechanics
Author
Nguyen, T.H. ; Strickland, J.H., Jr. ; Jannett, T.C.
Author_Institution
Cardiopulmonary Corp., Milford, CT, USA
Volume
1
fYear
1999
fDate
6/21/1905 12:00:00 AM
Abstract
This paper describes a simulation study of model-based respiratory parameter tracking and event detection. An improved model of respiratory system mechanics was formulated to incorporate separate inspiratory mid expiratory resistances. Parameters were estimated and tracked using an extended Kalman filter. Events were detected using a multiple-model adaptive estimation (MMAE) algorithm
Keywords
Kalman filters; parameter estimation; physiological models; pneumodynamics; event detection; extended Kalman filter; inspiratory mid expiratory resistance; multiple-model adaptive estimation algorithm; simple respiratory mechanics model; Adaptive estimation; Cardiology; Change detection algorithms; Convergence; Event detection; Immune system; Noise level; Parameter estimation; Respiratory system; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
ISSN
1094-687X
Print_ISBN
0-7803-5674-8
Type
conf
DOI
10.1109/IEMBS.1999.802401
Filename
802401
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