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Modélisation et commande de l’anesthésie en milieu clinique

Saïd Zabi 1
1 LAAS-MAC - Équipe Méthodes et Algorithmes en Commande
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : This thesis deals with the modelling and control of anesthesia from a theoretical and formal angle. The general anesthesia of a patient during an operation consists for the anesthesiologist in checking the hypnotic and analgesic state of the patient (avoid over or under dosage) by adjusting the perfusion of analgesic and/or hypnotics substances based on clinical indicators such as BIS for hypnosis or pupillary surface variation for analgesia. This manuscript consists of three parts. The rst denes the concepts and key words used in the eld of anesthesia, presents an introduction to the modelling and control of anesthesia from the viewpoint of a control systems engineering, recalls the characteristics and constraints of control of the anesthesia systems and establishes a state of the art of works of the literature. The second part concerns the control of hypnosis which is performed in two phases : induction and maintenance. In the rst phase (induction), a minimal time control is calculated to bring the patient from his awakening state to the neighbourhood of a target equilibrium corresponding to an objective of the BIS. Once the patient state is close to the target state, the second phase (maintenance) consists in ensuring that the patient state remains in an invariant set where the BIS is guaranteed between 40 and 60 and possibly follows constant references . In this phase, the synthesis of the control laws (state feedback and dynamic output feedback) takes into account the saturation of the control, the positivity of the system, the variability of the patients, ... In the third part,we begin by proposing a novel indicator for the depth of analgesia and modelling the variation of the pupillary surface. Taking into account the quantication of the measures of this indicator, we propose the synthesis of a dynamic output feedback control. Then, a stability analysis is carried out taking into account the sampling of the measures.
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Submitted on : Tuesday, January 10, 2017 - 8:12:00 AM
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  • HAL Id : tel-01417231, version 1


Saïd Zabi. Modélisation et commande de l’anesthésie en milieu clinique. Automatique / Robotique. UPS Toulouse - Université Toulouse 3 Paul Sabatier, 2016. Français. ⟨tel-01417231⟩



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