AI Article Synopsis
- A novel approach combining LQG control in Hilbert space, random abstract parabolic systems, and new transdermal alcohol biosensor technology aims to automate inpatient management of alcohol withdrawal syndrome and intravenous alcohol infusion studies.
- * The method utilizes a complex model of alcohol distribution in the body, described through a combination of differential equations and advanced mathematical frameworks.
- * Simulation studies using real drinking data demonstrate the effectiveness of this approach in accurately tracking and managing alcohol concentration levels.
Article Abstract
LQG control in Hilbert space, a novel approach for random abstract parabolic systems, and new transdermal alcohol biosensor technology are combined to yield tracking controllers that can be used to automate inpatient management of alcohol withdrawal syndrome and human subject intravenous alcohol infusion studies, and to blindly deconvolve blood or breath alcohol concentration from biosensor measured transdermal alcohol level. The approach taken is based on a full-body alcohol population model in the form of a random, nonlinear, hybrid system of ordinary and partial differential equations and its abstract formulation in a Gelfand triple of Bochner spaces. The efficacy of the approach is demonstrated through simulation studies based on laboratory collected drinking data.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540219 | PMC |
| http://dx.doi.org/10.1016/j.automatica.2022.110699 | DOI Listing |
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