Frequency entrainment of coupled Hodgkin-Huxley-type oscillators for modeling gastro-intestinal electrical activity.
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Biomedical subjects
Publications and source records attributed to D A Linkens.
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A conversational program is described which is being used for exploratory modelling of digestive tract electrical activity. The structure of the mathematical model is based on the Hodgkin-Huxley equations for nerve axons and the Noble equations for Purkinje fibres of the heart. The parameters of the models are changed conversationally to investigate the effects of frequency, amplitude and waveshape. In this way it is intended to extend the models to include nervous control. The program is also being used to correlate the behaviour of H-H type equations with the simpler dynamics of Van der Pol's equation which is the basis of an oscillator-array model for the stomach and small intestines.
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Intelligent systems have appeared in many technical areas, such as consumer electronics, robotics and industrial control systems. Many of these intelligent systems are based on fuzzy control strategies which describe complex systems mathematical models in terms of linguistic rules. Since the 1980s new techniques have appeared from which fuzzy logic has been applied extensively in medical systems. The justification for such intelligent systems driven solutions is that biological systems are so complex that the development of computerised systems within such environments is not always a straightforward exercise. In practice, a precise model may not exist for biological systems or it may be too difficult to model. In most cases fuzzy logic is considered to be an ideal tool as human minds work from approximate data, extract meaningful information and produce crisp solutions. This paper surveys the utilisation of fuzzy logic control and monitoring in medical sciences with an analysis of its possible future penetration.
The group has been engaged in research into modelling and control in biomedicine for many years. Initially, this used quantitative approaches but increasingly this has moved towards qualitative techniques, in particular that of fuzzy logic. The current emphasis is on hybrid models (quantitative/qualitative) and hybrid intelligent algorithms (fuzzy logic, neural networks, evolutionary computing) applied into anaesthesia.
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