PaperNonparametric input estimation in physiological systems: Problems, methods, and case studies☆
References (46)
Identifiability of the deconvolution problem
Automatica
(1990)Linear inverse problems and ill-posed problems
Adv. Electron. Electron Phys.
(1989)The inverse problem of radiography
Math. Biosci.
(1970)Biased estimation for nonparametric identification of linear systems
Math. Biosci.
(1971)- et al.
Detection and characterization of peaks and estimation of instantaneous secretory rate for episodic pulsatile hormone secretion
Comput. Biomed. Res.
(1986) The application of numerical filtering to the solution of integral equations of the first and encountered in indirect sensing measurements
J. Franklin Inst.
(1965)- et al.
- et al.
Nonparametric spline regression with prior information
Biometrika
(1993) - et al.
Fixed interval smoothing with discrete measurements
Int. J. Control
(1973)
A spectrum of approaches for controlling diabetes
IEEE Control Syst. Mag.
(1992)
Hepatic glucose production during the labelled IVGTT: estimation by deconvolution with a new minimal model
Am. J. Physiol.
(1993)
Reconstructing the rate of appearance of subcutaneous insulin by deconvolution
Am. J. Physiol.
(1987)
Approche Bayesienne en traitement de signal: estimation du signal d'entree d'un systeme lineaire
Rev. Stat. Appl.
(1982)
The deconvolution problem: fast algorithms including the preconditioned conjugate-gradient to compute a MAP estimator
IEEE Trans. Autom. Control
(1984)
Fast inversion of triangular Toeplitz matrices
IEEE Trans. Autom. Control
(1984)
Smoothing noisy data with spline functions: estimating the correct degree of smoothing by the method of generalized cross-validation
Numer Math.
(1979)
Linear and nonlinear techniques for the deconvolution of hormone time-series
IEEE Trans. Biomed. Engng
(1993)
A spectral characterization of the ill-conditioning in numerical deconvolution
IEEE Trans. Audio Electroacoust.
(1973)
Pulsatile secretion of luteinizing hormone in agonadal men before and during testosterone replacement therapy
J. Endocrinol. Invest.
(1990)
Generalized cross-validation as a method for choosing a good ridge parameter
Technometrics
(1979)
Common structure of techniques for choosing smoothing parameters in regression problems
J. R. Statist. Soc.
(1987)
Cited by (183)
Sensor Fusion for Glucose Monitoring Systems
2023, IFAC-PapersOnLineMaturation models of fluorescent proteins are necessary for unbiased estimates of promoter activity
2022, Biophysical JournalTime-distributed multi-step delayed input and state estimation
2020, AutomaticaModeling and control in physiology
2020, Control Theory in Biomedical Engineering: Applications in Physiology and Medical RoboticsRetrofitting CGM traces
2020, Glucose Monitoring Devices: Measuring Blood Glucose to Manage and Control Diabetes
- ☆
The original (preliminary) version of this paper was presented at the 12th IFAC World Congress, which was held in Sydney, Australia, during July 1993. The Published Proceedings of this IFAC Meeting may be ordered from: Elsevier Science Limited, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, U.K. This paper was recommended for publication in revised form by Associate Editor Arun Bagchi under the direction of Editor Torsten Söderström.
Copyright © 1997 Published by Elsevier Ltd.