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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems.
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WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems.

机译：WINSTODEC：用于生理和药代动力学系统的随机反卷积交互式程序。

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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.
机译：去卷积可以根据因果相关的可测量效果（例如激素血浆浓度）重建不可访问的输入（例如激素分泌率）。在许多方面（例如，确定数据拟合度和解决方案平滑度之间的适当折衷以对比不良状况，评估置信区间）以及生理系统的特定方面（例如，不均匀的和不频繁的数据采样）。最近，已经提出并验证了随机正则化方法来处理这些困难（De Nicolao等人，Automatica 33（1997）851-870）。在本文中，提出了一个交互式程序WINSTODEC，以使临床研究人员可以轻松地通过这种方法获得解卷积问题的解决方案。

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