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WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems.

Giovanni Sparacino·Gianluigi Pillonetto·Massimo Capello·Giuseppe De Nicolao·Claudio Cobelli
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Abstract

Deconvolution allows the reconstruction of non-accessible inputs (e.g. hormone secretion rate) from their causally-related measurable effects (e.g. hormone plasma concentration). Deconvolution is challenging under several aspects both general (e.g. determination of a suitable trade-off between data fit and solution smoothness in order to contrast ill-conditioning, assessment of the confidence intervals) as well as specific of physiological systems (e.g. non-uniform and infrequent data sampling). Recently, a stochastic regularization approach has been proposed and validated to handle these difficulties (De Nicolao et al., Automatica 33 (1997) 851-870). In this paper, an interactive program, WINSTODEC, is presented to allow the clinical investigator to easily obtain the solution of a deconvolution problem by this approach.

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HumansPharmacokineticsPhysiological PhenomenaSoftwareStochastic ProcessesJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, P.H.S.

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Giovanni Sparacino, Gianluigi Pillonetto, Massimo Capello, Giuseppe De Nicolao, Claudio Cobelli. 2002. WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems.. https://doi.org/10.1016/s0169-2607(00)00151-6

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