Literature DB >> 16115988

Evaluation of a closed-loop muscle relaxation control system.

Douglas J Eleveld1, Johannes H Proost, J Mark K H Wierda.   

Abstract

Automatic muscle relaxation control may reduce anesthesiologists' workload freeing them for other patient care requirements. In this report we describe a muscle relaxation controller designed for routine clinical application using rocuronium and the train-of-four count. A muscle relaxation monitor (TOF Watch SX) was connected to a laptop computer running a controller algorithm program that communicates with a syringe pump to form a closed-loop muscle relaxation system. The control algorithm uses proportional-integral and lookup table components and is designed to avoid the usability restrictions of existing controllers. The controller is optimized using an objective method to avoid the uncertainties of ''hand-crafted'' controller algorithms. Controller target was train-of-four count 1 or 2 and controller performance was evaluated in 15 patients. During 39 hours of closed-loop control, 96.1% of all twitches recorded were in the target range. Average rocuronium infusion rate was 0.36 mg.kg(-1).h(-1) (sd 0.18 mg.kg(-1).h(-1)). We show that the controller remains useful even in the presence of disturbances that can arise in routine clinical conditions. The muscle relaxation controller maintained the target train-of-four count values and may serve as a basis for the design of hardware and user interfaces for closed-loop muscle relaxation control in clinical conditions.

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Year:  2005        PMID: 16115988     DOI: 10.1213/01.ane.0000167069.54613.50

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  3 in total

Review 1.  Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success.

Authors:  Fawaz Al-Mufti; Michael Kim; Vincent Dodson; Tolga Sursal; Christian Bowers; Chad Cole; Corey Scurlock; Christian Becker; Chirag Gandhi; Stephan A Mayer
Journal:  Curr Neurol Neurosci Rep       Date:  2019-11-13       Impact factor: 5.081

2.  A technical description of a novel pharmacological anesthesia robot.

Authors:  Mohamad Wehbe; Erik Arbeid; Shantale Cyr; Pierre A Mathieu; Riccardo Taddei; Joshua Morse; Thomas M Hemmerling
Journal:  J Clin Monit Comput       Date:  2013-06-15       Impact factor: 2.502

Review 3.  Artificial intelligence and anesthesia: A narrative review.

Authors:  Madhavi Singh; Gita Nath
Journal:  Saudi J Anaesth       Date:  2022-01-04
  3 in total

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