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FLAIRS
2004

Intelligent Control of Closed-Loop Sedation in Simulated ICU Patients

8 years 6 months ago
Intelligent Control of Closed-Loop Sedation in Simulated ICU Patients
The intensive care unit is a challenging environment to both patient and caregiver. Continued shortages in staffing, principally in nursing, increase risk to patient and healthcare workers. To evaluate the use of intelligent systems in the improvement of patient care, an agent was developed to regulate ICU patient sedation. A temporal differencing form of reinforcement learning was used to train the agent in the administration of intravenous propofol in simulated ICU patients. The agent utilized the well-studied Marsh-Schnider pharmacokinetic model to estimate the distribution of drug within the patient. A pharmacodynamic model then estimated drug effect. A processed form of electroencephalogram, the bispectral index, served as the system control variable. The agent demonstrated satisfactory control of the simulated patient's consciousness level in static and dynamic setpoint conditions. The agent demonstrated superior stability and responsiveness when compared to a well-tuned PI...
Brett L. Moore, Eric D. Sinzinger, Todd M. Quasny,
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where FLAIRS
Authors Brett L. Moore, Eric D. Sinzinger, Todd M. Quasny, Larry D. Pyeatt
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