A bi-phase algorithm to identify hypnotic models of patients subject to deep sedation for ultrasonographic endoscopy

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Lemos, JM (Author) Other; Gomes, J (Author) Other; Costa, B (Author) Other; Gambus, P (Author) Other; Jensen, EW (Author) Other; Mendonca, TF (Author) FCUP

Conference proceedings International

Title: IFAC Proceedings Volumes (IFAC-PapersOnline)

Pages: 775-780

Universite Libre de Bruxelles

Bruxelles, 11 July 2012 through 13 July 2012

Indexing

ISI Web of Knowledge

Scopus - 1 Citation

Other information

Authenticus ID: P-008-6GB

DOI: 10.3182/20120711-3-be-2027.00351

Abstract (EN): This work addresses the problem of identifying hypnotic models of patients undergoing deep sedation for ultrasonographic endoscopy. The model used assumes that there are three inputs and one output. The output is the level of hypnosis. Two of the inputs correspond to manipulated variables and are given by the perfusion rates of the hypnotic drug (propofol) and analgesic drug (remifentanil). In addition to these input signals that are known, there is another input that is induced by the noxious stimuli applied to the patient due to the manoeuvres of the endoscopic device and may not be measured. In order to take into account the unmeasurable input, a bi-phase estimation procedure is proposed. Before the identification, a local identifiability analysis is performed. The contribution of the paper consists in the bi-phase algorithm used to identify systems with unknown inputs and to demonstrate the identification procedure proposed using actual clinical data. © 2012 IFAC.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6