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Titolo: A NEW APPROACH FOR TRACKING RESPIRATORY MECHANICAL PARAMETERS IN REALTIME
Autore: AVANZOLINI G; BARBINI P; CAPPELLO A; CEVENINI G; CHIARI L;
 Indirizzi:
 UNIV BOLOGNA,DIPARTIMENTO ELETTR INFORMAT & SISTEMIST,VIALE RISORGIMENTO 2 I40136 BOLOGNA ITALY UNIV BOLOGNA,DIPARTIMENTO ELETTR INFORMAT & SISTEMIST I40136 BOLOGNAITALY UNIV SIENA,IST CHIRURG TORAC & CARDIOVASC & TECNOL BIOMED I53100 SIENA ITALY
 Titolo Testata:
 Annals of biomedical engineering
fascicolo: 1,
volume: 25,
anno: 1997,
pagine: 154  163
 SICI:
 00906964(1997)25:1<154:ANAFTR>2.0.ZU;26
 Fonte:
 ISI
 Lingua:
 ENG
 Soggetto:
 VENTILATED PATIENTS; BREATHING MECHANICS; LEASTSQUARES; FAILURE; IMPEDANCE; MODEL; FIT;
 Keywords:
 RESPIRATORY MECHANICS; MATHEMATICAL MODEL; RESPIRATORY ELASTANCE AND RESISTANCE; PARAMETER ESTIMATION; REALTIME TRACKING;
 Tipo documento:
 Article
 Natura:
 Periodico
 Settore Disciplinare:
 Science Citation Index Expanded
 Citazioni:
 27
 Recensione:
 Indirizzi per estratti:



 Citazione:
 G. Avanzolini et al., "A NEW APPROACH FOR TRACKING RESPIRATORY MECHANICAL PARAMETERS IN REALTIME", Annals of biomedical engineering, 25(1), 1997, pp. 154163
Abstract
A new recursive leastsquares procedure for online tracking of changes in viscoelastic properties of respiratory mechanics is proposed andapplied to artificially ventilated patients. Classical leastsquares methods based on simple firstorder linear models with timeconstant parameters generally provide systematic residuals that hardly satisfy standard statistical tests for model validation in terms of residuals. On the other hand, high order and/or nonlinear models introduce parameters whose estimates are of difficult interpretation in a clinical context. The present procedure overcomes these limitations by using the wellknown firstorder model of respiratory mechanics, wherein variability of resistance and elastance during the breathing cycle is allowed to take into account nonlinear and highorder behavior. Mean and standard deviation of resistance and elastance estimates, relative to a respiratory cycle, are then determined recursively. Feasibility of the method is evaluated by applying it both to experimental and simulated pressureairflow signals measured in an intensive care unit during mechanical ventilation of patients recovering from heart surgery. Results demonstrate that the proposed procedure provides data description satisfying statistical tests, such as residual whiteness, and reliable estimates of viscoelastic lung parameters even during substantial and fastvariations in the respiratory status. In addition, unlike classical methods, the new technique provides the means for online evaluation ofparameter variability during each respiratory cycle, by the estimate of their standard deviations. This is important in clinical practice, because only the knowledge of reliable parameter values and standard deviations enables significant changes in the respiratory viscoelastic characteristics, and thus in patient status, to be assessed.
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Documento generato il 06/04/20 alle ore 00:33:34