ArticleAutomatica : the journal of IFAC, the International Federation of Automatic Control2019
Estimating the Distribution of Random Parameters in a Diffusion Equation Forward Model for a Transdermal Alcohol Biosensor.
Article in Automatica : the journal of IFAC, the International Federation of Automatic Control, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05692830 (Towards a Wearable Alcohol Biosensor), which is not on this map. Cited by 18 papers.
What it found
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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.
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.
Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates From New-Generation Transdermal Technology Using Large-Scale Human Testing and Machine Learning Algorithms
Who cites it
18 citing papers in PubMed.
- Estimating treatment sensitivity in synthetic and in vitro tumors using a random differential equation model.NPJ systems biology and applications · 2025Article
- REAL-TIME RECURSIVE ESTIMATION OF, AND UNCERTAINTY QUANTIFICATION FOR, BREATH ALCOHOL CONCENTRATION VIA LQ TRACKING CONTROL-BASED INVERSE FILTERING OF TRANSDERMAL ALCOHOL BIOSENSOR SIGNALS.Applied mathematics for modern challenges · 2024Article
- Computation of nonparametric, mixed effects, maximum likelihood, biosensor data based-estimators for the distributions of random parameters in an abstract parabolic model for the transdermal transport of alcohol.Mathematical biosciences and engineering : MBE · 2023Article
- Tracking and blind deconvolution of blood alcohol concentration from transdermal alcohol biosensor data: A population model-based LQG approach in Hilbert space.Automatica : the journal of IFAC, the International Federation of Automatic Control · 2023Article
- Examining new-generation transdermal alcohol biosensor performance across laboratory and field contexts.Alcohol, clinical & experimental research · 2023Article
- An Abstract Parabolic System-Based Physics-Informed Long Short-Term Memory Network for Estimating Breath Alcohol Concentration from Transdermal Alcohol Biosensor Data.Neural computing & applications · 2022Article
- Article
- Effects of stomach content on the breath alcohol concentration-transdermal alcohol concentration relationship.Drug and alcohol review · 2021Article
- A new generation of transdermal alcohol biosensing technology: practical applications, machine -learning analytics and questions for future research.Addiction (Abingdon, England) · 2021Review
- A Discreet Wearable IoT Sensor for Continuous Transdermal Alcohol Monitoring - Challenges and Opportunities.IEEE sensors journal · 2021Article
- Using machine learning for real-time BAC estimation from a new-generation transdermal biosensor in the laboratory.Drug and alcohol dependence · 2020Article
- Estimating the quantity and time course of alcohol consumption from transdermal alcohol sensor data: A combined laboratory-ambulatory study.Alcohol (Fayetteville, N.Y.) · 2019Article
- Applying a novel population-based model approach to estimating breath alcohol concentration (BrAC) from transdermal alcohol concentration (TAC) biosensor data.Alcohol (Fayetteville, N.Y.) · 2019Article
- Estimation of the Distribution of Random Parameters in Discrete Time Abstract Parabolic Systems with Unbounded Input and Output: Approximation and Convergence.Communications in applied analysis · 2019Article
- Estimating intratumoral heterogeneity from spatiotemporal data.Journal of mathematical biology · 2018Article
- Deconvolving the input to random abstract parabolic systems: a population model-based approach to estimating blood/breath alcohol concentration from transdermal alcohol biosensor data.Inverse problems · 2018Article
- THE PROHOROV METRIC FRAMEWORK AND AGGREGATE DATA INVERSE PROBLEMS FOR RANDOM PDEs.Communications in applied analysis · 2018Article
- A population model-based linear-quadratic Gaussian compensator for the control of intravenously infused alcohol studies and withdrawal symptom prophylaxis using transdermal sensing.Optimal control applications & methodsArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
We estimate the distribution of random parameters in a distributed parameter model with unbounded input and output for the transdermal transport of ethanol in humans. The model takes the form of a diffusion equation with the input being the blood alcohol concentration and the output being the transdermal alcohol concentration. Our approach is based on the idea of reformulating the underlying dynamical system in such a way that the random parameters are now treated as additional space variables. When the distribution to be estimated is assumed to be defined in terms of a joint density, estimating the distribution is equivalent to estimating the diffusivity in a multi-dimensional diffusion equation and thus well-established finite dimensional approximation schemes, functional analytic based convergence arguments, optimization techniques, and computational methods may all be employed. We use our technique to estimate a bivariate normal distribution based on data for multiple drinking episodes from a single subject.
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Registered trials
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.