Title :
On-line estimation of respiratory parameters of lung mechanics in different pathologies
Author :
Nucci, G. ; Polese, G. ; Rossi, A. ; Cobelli, C.
Author_Institution :
Dipt. di Elettronica e Inf., Padova Univ., Italy
fDate :
6/19/1905 12:00:00 AM
Abstract :
Real-time monitoring of lung function parameters is of crucial importance in patients requiring respiratory assistance. In the present work we applied a recently proposed recursive method to on-line estimation of respiratory resistance and elastance in different pathologies. The approach provides stable and reliable parameter estimates even in critical patients
Keywords :
least squares approximations; lung; patient monitoring; physiological models; pneumodynamics; recursive estimation; viscoelasticity; artificially ventilated patients; critical patients; least square method; lung function parameters; lung mechanics; on-line estimation; parameter estimation; real-time monitoring; recursive method; respiratory elastance; respiratory resistance; viscoelastic model; Elasticity; Finite impulse response filter; Histograms; Lungs; Medical treatment; Parameter estimation; Pathology; Patient monitoring; Recursive estimation; Viscosity;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.758753
