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Robust control of burst suppression for medical coma
M. Brandon Westover
, Seong Eun Kim
,
Shinung Ching
, Patrick L. Purdon
, Emery N. Brown
Department of Electrical & Systems Engineering
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
DBBS - Neurosciences
DBBS - Biochemistry, Biophysics, and Structural Biology
Research output
:
Contribution to journal
›
Article
›
peer-review
20
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Scopus citations
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Keyphrases
Coma
100%
Robust Control
100%
Burst Suppression
100%
Closed-loop Anesthesia
83%
Anesthesia Delivery Systems
66%
Pharmacodynamics
50%
Realistic Model
33%
Acceptable Limits
33%
Propofol Dose
33%
Acceptable Safety
16%
Pharmacokinetics
16%
Anesthetics
16%
Propofol
16%
Intensive Care Unit
16%
Patient-specific
16%
Pharmacokinetic Parameters
16%
Steady-state Conditions
16%
Electroencephalogram
16%
New-onset Refractory Status Epilepticus (NORSE)
16%
Infusion Rate
16%
Feedback Control
16%
Min-max
16%
Rise Time
16%
Tracking Algorithm
16%
Settling Time
16%
Factorial Design
16%
Safety Limits
16%
Operating Conditions
16%
Model Uncertainty
16%
Delivery Behavior
16%
Anesthesia Delivery
16%
Parameter Uncertainty
16%
External Disturbances
16%
Transient Behavior
16%
Robust Control Design
16%
Robust Control Theory
16%
Oscillation Index
16%
Unmodeled Disturbances
16%
Proportional Integral Controller
16%
Induced State
16%
Neuroscience
Propofol
100%
Coma
100%
Behavior (Neuroscience)
66%
Pharmacokinetics
66%
Control Theory
33%
Status Epilepticus
33%
Electroencephalogram
33%
Pharmacology, Toxicology and Pharmaceutical Science
Propofol
100%
Coma
100%
Pharmacodynamic Parameter
66%
Pharmacodynamics
33%
Epileptic State
33%
Pharmacokinetic Parameter
33%
Pharmacokinetics
33%
Biochemistry, Genetics and Molecular Biology
Coma
100%
Burst Suppression
100%
Pharmacodynamics
50%
Propofol
50%
Pharmacokinetics
33%
Steady State
16%
Electroencephalogram
16%