Tracking and blind deconvolution of blood alcohol concentration from transdermal alcohol biosensor data: A population model-based LQG approach in Hilbert space. (January 2023)

• Record Type: Journal Article
• Authors: Yao, Mengsha; Luczak, Susan E.; Rosen, I. Gary
• Is Part Of: Automatica. Volume 147(2023)
• Publication Date: 2023-01
• Subjects: LQG tracking -- Random abstract parabolic systems -- Transdermal alcohol biosensor -- Alcohol withdrawal syndrome -- Deconvolution; Automatic control -- Periodicals; Automation -- Periodicals; 629.805
• DOI: 10.1016/j.automatica.2022.110699
• Languages: English
• ISSNs: 0005-1098

Abstract

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.