Communication Dans Un Congrès Année : 2026

Toward an Augmented Target-Controlled Infusion System for an Automated Anesthesia with Hypnosis and Analgesia Objectives

Lucas Martin
  • Fonction : Auteur
Bogdan Catargi
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Résumé

For major surgery, Target-controlled infusion (TCI) systems are currently the gold standard to achieve safe anesthesia. Based on pharmacokinetic (PK) and pharmacodynamic (PD) models, the TCI system administers the necessary amount of drugs to achieve clinical targets, but does not account for drug interactions or surgical disturbances, such as incisions or skin manipulation. To overcome these weaknesses, the integration of an augmented intelligence in the TCI system is proposed. First, the effect of surgical stimuli reflected through the outputs is estimated. Next, an adaptation mechanism is introduced to smoothly mitigate the impact of disturbances and achieve clinical targets for depth of hypnosis and analgesia. The benefits of the proposed solution are finally highlighted by using the AReS simulator as a substitute for pre-clinical testing.

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Dates et versions

hal-05611638 , version 1 (04-05-2026)

Identifiants

  • HAL Id : hal-05611638 , version 1

Citer

Pablo S. Rivadeneira, Jérôme Cieslak, Ariana Gutiérrez, David Gucik-Derigny, David Henry, et al.. Toward an Augmented Target-Controlled Infusion System for an Automated Anesthesia with Hypnosis and Analgesia Objectives. 12th IEEE International Conference on Control, Decision and Information Technologies (CODIT), IEEE, Jul 2026, Bari, France. ⟨hal-05611638⟩
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