Literature DB >> 1592404

Supervisory adaptive control of arterial pressure during cardiac surgery.

J F Martin1, N T Smith, M L Quinn, A M Schneider.   

Abstract

A supervisory adaptive controller has been designed for the closed-loop control of mean arterial pressure during cardiac surgery, using sodium nitroprusside. This controller consists of a pole-placement and proportional-plus-integral feedback regulator, multiple-model adaptation, and a supervisor. The pole-placement and proportional-plus-integral regulator was designed to meet aggressive step response characteristics. Multiple-model adaptation was chosen to ensure rapid and stable adjustments for changes in key patients parameters. The supervisor was designed to provide safety and efficacy of control during disturbances that are common during cardiac surgery. We studied the ability of this supervisory adaptive controller to regulate arterial pressure during cardiac surgery on nineteen patients. The controller, through the action of the supervisor, detected and responded appropriately to the great majority of disturbances. This study demonstrated that supervisory adaptive control has the potential to provide clinically acceptable regulation of arterial pressure.

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Year:  1992        PMID: 1592404     DOI: 10.1109/10.126611

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  7 in total

1.  Closed-loop control of arterial pressure during cardiac surgery.

Authors:  J F Martin
Journal:  J Clin Monit       Date:  1992-07

2.  Correction for respiration artifact in pulmonary blood pressure signals of ventilated patients.

Authors:  S A Hoeksel; J A Blom; J R Jansen; J J Schreuder
Journal:  J Clin Monit       Date:  1996-09

3.  Clinical evaluation of an automatic blood pressure controller during cardiac surgery.

Authors:  R H Meijers; D Schmartz; F R Cantraine; L Barvais; A A d'Hollander; J A Blom
Journal:  J Clin Monit       Date:  1997-07

4.  Automatic regulation of hemodynamic variables in acute heart failure by a multiple adaptive predictive controller based on neural networks.

Authors:  Koji Kashihara
Journal:  Ann Biomed Eng       Date:  2006-10-18       Impact factor: 3.934

5.  Fuzzy control in anesthesia.

Authors:  J F Martin
Journal:  J Clin Monit       Date:  1994-03

6.  A tool predicting future mean arterial blood pressure values improves the titration of vasoactive drugs.

Authors:  Matthias Görges; Dwayne R Westenskow; Kai Kück; Joseph A Orr
Journal:  J Clin Monit Comput       Date:  2010-06-18       Impact factor: 2.502

7.  Automated infusion of nitroglycerin to control arterial hypertension during cardiac surgery.

Authors:  S A Hoeksel; J J Schreuder; J A Blom; J G Maessen; O C Penn
Journal:  Intensive Care Med       Date:  1996-07       Impact factor: 17.440

  7 in total

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