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

作     者：Sparacino, G Pillonetto, G Capello, M De Nicolao, G Cobelli, C 

作者机构：Univ Padua Dept Elect & Informat I-35100 Padua Italy Univ Pavia Dipartimento Informat & Sistemist I-27100 Pavia Italy 

出 版 物：《COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE》 (Comput. Methods Programs Biomed.)

年 卷 期：2002年第67卷第1期

页      面：67-77页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 1001[医学-基础医学(可授医学、理学学位)] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

基　　金：NCRR NIH HHS [RR-11095] Funding Source: Medline 

主　　题：software inverse problems smoothing biomedical systems endocrinology regularization 

摘      要：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. (C) 2002 Elsevier Science Ireland Ltd. All rights reserved.