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
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;
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
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802401
