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EPSAC‐controlled anesthesia with online gain adaptation

Acceso Cerrado
ID Minciencias: ART-0000442062-11
Ranking: ART-ART_A2

Abstract:

Abstract This paper presents the application of predictive control to drug dosing during anesthesia in patients undergoing surgery. A single‐input (propofol) single‐output (bispectral index (BIS)) model of the patient has been assumed for prediction. The performance of our previous strategy in drug dosing control has been improved to tackle inter‐patient variability. A set of 12 patient models was studied and, in order to ensure the applicability of the proposed controller, gain adaptation in the controller is proposed. Preliminary studies have shown that due to static nonlinearity in the sigmoid curve of the patient model, feedback control is not feasible in the first part of the induction phase. Therefore, the control strategy applied in this study consists of controlling the effect site concentration ( C e ) during the first phase and controlling BIS once the relation BIS/ C e has been identified. The policy of switching and adapting the control strategies shows a good performance during the induction phase in simulation studies. Clinical tests have been scheduled at the Ghent University Hospital for the coming months. Copyright © 2008 John Wiley & Sons, Ltd.

Tópico:

Anesthesia and Sedative Agents

Citaciones:

Citations: 53
53

Citaciones por año:

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Información de la Fuente:

SCImago Journal & Country Rank
FuenteInternational Journal of Adaptive Control and Signal Processing
Cuartil año de publicaciónNo disponible
Volumen23
Issue5
Páginas455 - 471
pISSNNo disponible
ISSN1099-1115

Enlaces e Identificadores:

Scienti ID0000442062-11Minciencias IDART-0000442062-11Doi URLhttps://doi.org/10.1002/acs.1073
Openalex URLhttps://openalex.org/W2165597735
Artículo de revista