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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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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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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

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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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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Autonomic function assessment using analysis of heart rate variability

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control ENGINEERING PRACTICE 1997年第12期5卷 1731-1737页

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

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

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Sensor validation in biomedical applications

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control ENGINEERING PRACTICE 1997年第12期5卷 1753-1758页

作者： Leahy, MJ Henry, MP Clarke, DW Department of Engineering Science University of Oxford UK

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

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

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control ENGINEERING PRACTICE 1997年第12期5卷 1727-1730页

作者： Trajanoski, Z Regittnig, W Wach, P Department of Biophysics Institute of Biomedical Engineering Graz University of Technology Inffeldgasse 18 8010 Graz 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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Whatever happened to optimal control of econometric models?

Whatever happened to optimal control of econometric models?

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1995 ifac / IFIP / IFORS / SEDC symposium on modelling and control of National and Regional Economies

作者： Pagan, A

The paper discusses the role of control methods in the analysis of econometric models. As a vehicle for the discussion it concentrates upon five Australian models. The paper devotes considerable space to the way in which the structure of econometric models has changed over the past two decades. These changes recognise features that are distinctive to economic systems and which rarely have a counterpart in physical systems. Such developments have proved to be important for both the design of and enthusiasm for control work in economics. The answer given to the question in the title of the paper is that interest in control work with econometric models has not disappeared but has metamorphosed. Copyright (C) 1997 Elsevier Science Ltd.

关键词： optimal control linear quadratic control econometric models time inconsistency rational expectations error correction model

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Whatever happened to optimal control of econometric models?

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control ENGINEERING PRACTICE 1997年第4期5卷 527-533页

作者： Pagan, A Department of Economics Research School of Social Sciences Australian National University Australia

关键词： optimal control linear quadratic control econometric models time inconsistency rational expectations error correction model

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