title: WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems.
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.
authors.affiliation: Dipartimento di Elettronica ed Informatica, Università di Padova, Via Gradenigo 6/A, 35131, Padova, Italy.
authors.forename: Giovanni
authors.initials: G
authors.lastname: Sparacino
authors.forename: Gianluigi
authors.initials: G
authors.lastname: Pillonetto
authors.forename: Massimo
authors.initials: M
authors.lastname: Capello
authors.forename: Giuseppe
authors.initials: G
authors.lastname: De Nicolao
authors.forename: Claudio
authors.initials: C
authors.lastname: Cobelli
mesh_terms: D006801:Humans; D010599:Pharmacokinetics; D010829:Physiological Phenomena / Q000502:physiology*; D012984:Software; D013269:Stochastic Processes