کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
505881 864544 2007 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Convergence properties of a new technique for estimating parameters in a nonlinear viscoelastic lung model in newborns
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Convergence properties of a new technique for estimating parameters in a nonlinear viscoelastic lung model in newborns
چکیده انگلیسی

The aim of this study was to develop a new technique to estimate parameters (airway resistance, inertance, tissue damping, and elastance; RIGH) of a viscoelastic lung model. The nonlinear RIGH-model was linearized by re-parametrization (model linearization, ML), and the parameters were calculated by one-dimensional line search of least-squares estimations. The convergence properties, the number of iterations, and computing time were compared between different search algorithms using the frequency responses of small animals and infants without and with added noise. While all of the algorithms converged in case of undisturbed frequency responses, only two algorithms converged in case of noise. ML provided always the lowest number of iterations and the shortest computing times. ML allows for reliable and accurate parameter estimation of the RIGH model.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 37, Issue 12, December 2007, Pages 1750–1758
نویسندگان
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