Literature DB >> 8001997

Accommodation of time delay variations in automatic infusion of sodium nitroprusside.

J S Delapasse1, K Behbehani, K Tsui, K W Klein.   

Abstract

A new self-tuning regulator for control of mean arterial blood pressure using sodium nitroprusside is presented. In addition to adapting to various patient response gains and time constants, the controller can accommodate variations in pure time delays, a problem that has not been addressed fully in previously proposed controllers. The control algorithm derivation is based on incorporating a self-tuning controller with an adaptive discrete time delay compensator. The derivation, however, is general and can potentially be applied to other pharmacological agents in addition to sodium nitroprusside. The a priori information required for implementation of the controller is the estimate of the order of the patient response transfer function and the range of the pure time delay. An attractive feature of the controller is its capability to optimize the level of the infused drug during the transient phase of the control without creating an output offset. This feature tends to reduce the overall level of the infused drug. Hence, it may be useful when the cost of a drug or its long-term administration side effects is of concern, such as in the case of sodium nitroprusside.

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Year:  1994        PMID: 8001997     DOI: 10.1109/10.335846

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


  3 in total

1.  In vivo evaluation of a closed loop monitoring strategy for induced paralysis.

Authors:  D Ramakrishna; K Behbehani; K Klein; J Mokhtar; W W von Maltzahn; R C Eberhart; M Dollar
Journal:  J Clin Monit Comput       Date:  1998-08       Impact factor: 2.502

2.  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

3.  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

  3 in total

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