In this paper the chronic disease of diabetes is examined within a control context, with treatment actions constituting external control actions that replace the control failures that the disease processes represent. ...
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In this paper the chronic disease of diabetes is examined within a control context, with treatment actions constituting external control actions that replace the control failures that the disease processes represent. Consideration is given to the strategic control problem of insulin therapy adjustment. It is shown that the combination of good measurement practice and the adoption of time series methods as applied to appropriate structural models can provide powerful insights into the dynamic features of glucose metabolism. This in turn can form the basis of a linear modelling approach to provide advice on the strategic insulin dosage adjustment problem for the diabetic patient.
We argue for the need to use control-based, event-driven and state-defined, coordination models and associated languages in modelling at least some of those activities that constitute the functionality of a modem, ope...
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Intelligent Manufacturing systems is the major challenge that must be met by scientific community in order to develop the next generation sophisticated manufacturing systems. This paper presents an overview of new pro...
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Intelligent Manufacturing systems is the major challenge that must be met by scientific community in order to develop the next generation sophisticated manufacturing systems. This paper presents an overview of new promising domains, such as fuzzy logic, neural networks and hybrid intelligent controlsystems, that could be utilised to achieve human intention for more advanced manufacturing systems. The modelling of the supervisor of manufacturing systems using fuzzy cognitive map is proposed and system functionalization architecture is presented. Finally, conclusions of an international symposium on issues and challenges of Manufacturing and control Education for the 21 st Century are presented.
Using wavelet transforms, a system that assesses depth of anaesthesia is proposed using auditory evoked potential measurements. The recorded auditory evoked potential signal is analysed by extracting its features whic...
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Using wavelet transforms, a system that assesses depth of anaesthesia is proposed using auditory evoked potential measurements. The recorded auditory evoked potential signal is analysed by extracting its features which are fed to a fuzzy logic rule-base, which in turn decides on the depth of the anaesthetic state. The fuzzy logic rule-base is based on the pharmacological knowledge provided by the anaesthetist. Copyright (C) 1997 Elsevier Science Ltd.
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 whic...
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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 controlsystemsmodelling 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.
Using wavelet transforms, a system that assesses depth of anaesthesia is proposed using auditory evoked potential measurements. The recorded auditory evoked potential signal is analysed by extracting its features whic...
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Using wavelet transforms, a system that assesses depth of anaesthesia is proposed using auditory evoked potential measurements. The recorded auditory evoked potential signal is analysed by extracting its features which are fed to a fuzzy logic rule-base, which in turn decides on the depth of the anaesthetic state. The fuzzy logic rule-base is based on the pharmacological knowledge provided by the anaesthetist. Copyright (C) 1997 Elsevier Science Ltd.
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 whic...
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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 controlsystemsmodelling 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.
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 base...
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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.
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 m...
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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.
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...
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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.
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