Conference Paper

Pressure- and Work-Limited Neuroadaptive Control for Mechanical Ventilation of Critical Care Patients

Sch. of Aerosp. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
DOI: 10.1109/CDC.2010.5717726 Conference: Decision and Control (CDC), 2010 49th IEEE Conference on
Source: DBLP

ABSTRACT In this paper, we develop a neuroadaptive control architecture to control lung volume and minute ventilation with input pressure constraints that also accounts for spontaneous breathing by the patient. Specifically, we develop a pressure-and work-limited neuroadaptive controller for mechanical ventilation based on a nonlinear multi-compartmental lung model. The control framework does not rely on any averaged data and is designed to automatically adjust the input pressure to the patient's physiological characteristics capturing lung resistance and compliance modeling uncertainty. Moreover, the controller accounts for input pressure constraints as well as work of breathing constraints. Finally, the effect of spontaneous breathing is incorporated within the lung model and the control framework.

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Available from: James M Bailey, Aug 21, 2015
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    • "With the increasing availability of microchip technology, it has been possible to design partially automated mechanical ventilators with control algorithms for providing volume or pressure control [1] [2] [3] [4] [5]. More sophisticated fully automated model reference adaptive control algorithms for mechanical ventilation have also been recently developed [6] [7]. These algorithms require a reference model for identifying a clinically plausible breathing pattern. "
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