Evidence map›Paper›PMID 37781089›Full record

ArticleAutomatica : the journal of IFAC, the International Federation of Automatic Control2023

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

Mengsha Yao, Susan E Luczak, I Gary Rosen

Open access · greenAbstract read
In one paragraph

Article in Automatica : the journal of IFAC, the International Federation of Automatic Control, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Mengsha YaoDepartment of Mathematics, Temple University, Philadelphia, PA, 19122, USA.
Susan E LuczakDepartment of Psychology, University of Southern California, Los Angeles, CA, 90089-1061, USA.
I Gary RosenDepartment of Mathematics, University of Southern California, Los Angeles, CA, 90089-2532, USA.
University of Southern California · USTemple University · US

Funding

Estimating BrAC/BAC from Transdermal Alcohol: Combining First-Principles Physiological Models with Machine-Learning to Create Software to Optimally Process and Quantitatively Interpret Biosensor DataR01AA026368 · NIAAA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LUCZAK, SUSAN E, ROSEN, GARY · 2018 to 2022
$2.8M
NIAAA NIH HHS R01 AA026368
6 · The paper itself

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.

Indexed as

Alcohol withdrawal syndromeDeconvolutionLQG trackingRandom abstract parabolic systemsTransdermal alcohol biosensor

Identifiers

PMID37781089
PMCPMC10540219
OpenAlexW4309633808

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.