Using drinking data and pharmacokinetic modeling to calibrate transport model and blind deconvolution based data analysis software for transdermal alcohol biosensors

DOI10.3934/mbe.2016023zbMath1347.92030OpenAlexW2494888029WikidataQ31138681 ScholiaQ31138681MaRDI QIDQ327562

Susan E. Luczak, Nancy Barnett, I. G. Rosen, Chuming Wang, Zheng Dai

Publication date: 19 October 2016

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2016023

zbMATH Keywords

deconvolutionMichaelis-Mentendistributed parameter systemboundary input and outputdrinking diarypharmacokinetic modelingtransdermal alcohol sensor

Mathematics Subject Classification ID

Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Medical applications (general) (92C50)

Related Items (7)

Blood and breath alcohol concentration from transdermal alcohol biosensor data: estimation and uncertainty quantification via forward and inverse filtering for a covariate-dependent, physics-informed, hidden Markov model* ⋮ A population model‐based linear‐quadratic Gaussian compensator for the control of intravenously infused alcohol studies and withdrawal symptom prophylaxis using transdermal sensing ⋮ Deconvolving the input to random abstract parabolic systems: a population model-based approach to estimating blood/breath alcohol concentration from transdermal alcohol biosensor data ⋮ Comparing a distributed parameter model-based system identification technique with more conventional methods for inverse problems ⋮ Estimating the distribution of random parameters in a diffusion equation forward model for a transdermal alcohol biosensor ⋮ Deconvolving breath alcohol concentration from biosensor measured transdermal alcohol level under uncertainty: a Bayesian approach ⋮ Tracking and blind deconvolution of blood alcohol concentration from transdermal alcohol biosensor data: a population model-based LQG approach in Hilbert space

Cites Work

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• Semigroups of linear operators and applications to partial differential equations
• Approximation of discrete-time LQG compensators for distributed systems with boundary input and unbounded measurement
• Blind deconvolution for distributed parameter systems with unbounded input and output and determining blood alcohol concentration from transdermal biosensor data
• Estimation techniques for distributed parameter systems
• Parametric deconvolution of positive spike trains.
• Derivatives of the matrix exponential and their computation
• Deconvolving an estimate of breath measured blood alcohol concentration from biosensor collected transdermal ethanol data
• A Novel Formulation of the Adjoint Method in the Optimal Design of Quantum Electronic Devices
• Finite-Dimensional Compensators for Infinite-Dimensional Systems with Unbounded Input Operators
• The Linear Quadratic Control Problem for Infinite Dimensional Systems with Unbounded Input and Output Operators

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