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A circulatory model for the estimation of insulin sensitivity

control ENGINEERING PRACTICE 1997年第12期5卷 1747-1752页

作者： Mari, A Valerio, A Institute of Systems Science and Biomedical Engineering National Research Council Padova Department of Clinical and Experimental Medicine University of Padova Padova Italy

Insulin sensitivity is commonly assessed by analysing intravenous glucose tests with a simple model, called the minimal model. However, the physiological meaning of the insulin sensitivity indices estimated using this model is not transparent. To overcome this problem, a circulatory model was developed to analyse intravenous glucose tests in which a tracer was injected together with glucose. Physiological parameters, such as glucose volume, clearance and production, were estimated. Insulin sensitivity was defined in terms of glucose clearance. The parameter values estimated in 5 normal subjects were in good agreement with the values reported in previous independent studies. Copyright (C) 1997 Elsevier Science Ltd.

关键词： insulin sensitivity physiology physiological models state-space models parameter estimation

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On improving physical selectivity in the treatment of cancer: A systems modelling and optimisation approach

On improving physical selectivity in the treatment of cancer...

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3rd ifac symposium on modelling and control in biomedical systems

作者： Haas, OCL Burnham, KJ Mills, JA WALSGRAVE GEN HOSP DEPT CLIN PHYS & BIOENGNCOVENTRYW MIDLANDSENGLAND

This paper presents the results arising from a practical implementation of a novel hybrid optimisation scheme, used to solve the inverse problem in radiotherapy treatment planning (RTP). A matrix-based beam model which has been developed making use of a control systems modelling approach is used, together with a hybrid optimisation scheme. Patient-specific compensator profiles are deduced from the intensity modulated beam profiles obtained from the hybrid scheme, with use being made of an exponential attenuation factor coupled with a point spread convolution function to account for the scatter in the compensator. A good agreement between the predicted and actual conformational distributions is achieved. Copyright (C) 1997 Elsevier Science Ltd.

关键词： genetic algorithms geometric approaches inverse problem iterative methods least squares methods multiobjective optimisation physics systems methodology

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Optimal sampling schedule design for positron emission tomography data acquisition

Optimal sampling schedule design for positron emission tomog...

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3rd ifac symposium on modelling and control in biomedical systems

作者： Feng, DG Li, XJ Siu, WC HONG KONG POLYTECH UNIV DEPT ELECT ENGNHONG KONGHONG KONG

biomedical function imaging and tracer kinetic modeling with Positron Emission Tomography (PET) are based on continuous data acquisition and time accumulated counts measurements. In dynamic cardiac studies, both the model input and output measurements are obtained simultaneously from the same sequence of PET images. In this paper, techniques in general PET optimal sampling schedule design for tracer kinetic modeling, based on continuous data acquisition and time accumulated counts measurements, are introduced. A special case in which simultaneous optimal sampling schedule design is required for both input and output measurements is also introduced. Copyright (C) 1997 Elsevier Science Ltd.

关键词： modeling biomedical systems optimal experiment design parameter estimation data acquisition

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On improving physical selectivity in the treatment of cancer: A systems modelling and optimisation approach

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control ENGINEERING PRACTICE 1997年第12期5卷 1739-1745页

作者： Haas, OCL Burnham, KJ Mills, JA WALSGRAVE GEN HOSP DEPT CLIN PHYS & BIOENGNCOVENTRYW MIDLANDSENGLAND

关键词： genetic algorithms geometric approaches inverse problem iterative methods least squares methods multiobjective optimisation physics systems methodology

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Neural predictive controller for closed-loop control of glucose using the subcutaneous route: A simulation study

Neural predictive controller for closed-loop control of gluc...

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3rd ifac symposium on modelling and control in biomedical systems

作者： Trajanoski, Z Regittnig, W Wach, P Department of Biophysics Institute of Biomedical Engineering Graz University of Technology 8010 Graz Inffeldgasse 18 Austria

The objective of this study was to develop and evaluate a strategy for closed-loop control of glucose using subcutaneous (s.c.) glucose measurement and s.c. infusion of monomeric insulin analogues. The method was based on off-line identification of the glucoregulatory system using neural networks and a nonlinear model predictive controller. Numerical studies on system identification and closed-loop control of glucose were carried out using a comprehensive model of glucose regulation. The proposed control strategy was robust against noise and time delays, and enabled stable control also for slow time variations of the controlled process. In conclusion, closed-loop control of glucose is feasible using the s.c. route and a neural predictive controller. Copyright (C) 1997 Elsevier Science Ltd.

关键词： radial base function networks predictive control nonlinear systems simulation

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Sensor validation in biomedical applications

Sensor validation in biomedical applications

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3rd ifac symposium on modelling and control in biomedical systems

作者： Leahy, MJ Henry, MP Clarke, DW

The sensor validation or SEVA project (Henry and Clarke 1991;Henry and Clarke 1993) promotes the use of intelligence in 'smart' sensors and the use of standard metrics to efficiently communicate self-diagnostics to the outside world. The standard metrics describe the status of the sensor including on-line uncertainty and a status flag to describe how the current validated measurement value has been derived. The end result is to provide a compact generic description of the quality of a measurement to the controller, with which decisions as to how to use the measurement can be made. This paper proposes the use of SEVA principles in the interpretation of data from biomedical instrumentation, in order to aid the decision-making process, particularly in critical care. For these purposes the pulse oximeter and polarographic oxygen tension meter will be used as working examples of typical 'intelligent sensors' because they make use of a microprocessor to perform self-diagnostics, as well as implementing measurement algorithms. Copyright (C) 1997 Elsevier Science Ltd.

关键词： sensors medical applications fault detection fault-tolerant systems sensor validation uncertainty

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Autonomic function assessment using analysis of heart rate variability

Autonomic function assessment using analysis of heart rate v...

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3rd ifac symposium on modelling and control in biomedical systems

作者： Bates, RA Hilton, MF Godfrey, KR Chappell, MJ BIRMINGHAM HEARTLANDS HOSP DEPT RESP PHYSIOLBIRMINGHAM B9 5SSW MIDLANDSENGLAND

Analysis of changes in heart rate can be useful in determining the state of various body systems. In particular the analysis of heart rate variability (HRV) is used in the assessment of autonomic function. This paper uses the discrete harmonic wavelet transform for a time-frequency analysis of HRV data to show changes in spectral power over time. Signals representing patient heart rate are presented, and methods for spectral and time-frequency analysis are described. Three sets of patient data are then analysed using these methods. The results show the potential of time-frequency analysis in the assessment of medical disorders, such as the sleep apnoea syndrome, where transient alterations in autonomic function occur. Copyright (C) 1997 Elsevier Science Ltd.

关键词： biomedical systems discrete Fourier transforms interpolation sampled data spectral analysis stationarity time-frequency representation

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Optimal sampling schedule design for positron emission tomography data acquisition

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control ENGINEERING PRACTICE 1997年第12期5卷 1759-1766页

作者： Feng, DG Li, XJ Siu, WC HONG KONG POLYTECH UNIV DEPT ELECT ENGNHONG KONGHONG KONG

关键词： modeling biomedical systems optimal experiment design parameter estimation data acquisition

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Uncertain pharmacokinetic/pharmacodynamic systems: Design, estimation and control

Uncertain pharmacokinetic/pharmacodynamic systems: Design, e...

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3rd ifac symposium on modelling and control in biomedical systems

作者： DArgenio, DZ Park, K UNIV SO CALIF BIOMED SIMULAT RESOURCELOS ANGELESCA 90089

In the study of many biological systems, measurement of some process variables occurs only infrequently and at irregular intervals relative to system time constants, while others are completely unobservable. The quantitative study of such sparse data systems (common in the fields of biochemistry, endocrinology, immunology, metabolism, pharmacology, pharmaceutical sciences, toxicology, and other areas), requires modeling methodologies developed expressly to handle the challenges of modeling and data analysis under the constraints of limited data. This presentation reviews current methods for design, estimation and control of sparse data systems, focusing on methods that formally incorporate important sources of uncertainty (both biological and experimental) into the modeling and analysis processes. The methods are illustrated using examples from pharmacokinetics and pharmacodynamics. Copyright (C) 1997 Elsevier Science Ltd.

关键词： pharmacokinetics pharmacodynamics experiment design parameter estimation stochastic control drug development sparse data systems

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Uncertain pharmacokinetic/pharmacodynamic systems: Design, estimation and control

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control ENGINEERING PRACTICE 1997年第12期5卷 1707-1716页

作者： DArgenio, DZ Park, K UNIV SO CALIF BIOMED SIMULAT RESOURCELOS ANGELESCA 90089

关键词： pharmacokinetics pharmacodynamics experiment design parameter estimation stochastic control drug development sparse data systems

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