Percorrer por autor "Linkens, Derek A."
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- Modelling and multivariable control in anaesthesia using neural-fuzzy paradigmsPublication . Mahfouf, Mahdi; Nunes, Catarina S.; Linkens, Derek A.; Peacock, John E.Objective: Part II of this research study is concerned with the development of a closed-loop simulation linking the patient model as well as the fuzzy relational classifier already introduced in Part I with a control algorithm. The overall architecture is in fact a system advisor, which provides information to the anaesthetist about the adequate infusion-rates of propofol and remifentanil simultaneously. Methods and material: The developed fuzzy multivariable controller includes three rule-bases and takes into account the synergetic interactions between the above drugs and uses such knowledge to achieve rapidly the desired depth of anaesthesia (DOA) level. Results: The result of the study is a closed-loop control scheme, which adjusts efficiently the infusion-rates of two drugs in response to DOA changes. This controller can either be used in an advisory mode or closed-loop feedback mode in the operating theatre during surgery. Conclusion: It is hoped that this control scheme coupled with the patient model presented in Part I of this study will be used routinely in the operating theatre in the very near future.
- Modelling and multivariable control in anaesthesia using neural-fuzzy paradigmsPublication . Nunes, Catarina S.; Mahfouf, Mahdi; Linkens, Derek A.; Peacock, John E.Objective: The first part of this research relates to two strands: classification of depth of anaesthesia (DOA) and the modelling of patient’s vital signs. Methods and Material: First, a fuzzy relational classifier was developed to classify a set of wavelet-extracted features from the auditory evoked potential (AEP) into different levels of DOA. Second, a hybrid patient model using Takagi—Sugeno Kang fuzzy models was developed. This model relates the heart rate, the systolic arterial pressure and the AEP features with the effect concentrations of the anaesthetic drug propofol and the analgesic drug remifentanil. The surgical stimulus effect was incorporated into the patient model using Mamdani fuzzy models. Results: The result of this study is a comprehensive patient model which predicts the effects of the above two drugs on DOA while monitoring several vital patient’s signs. Conclusion: This model will form the basis for the development of a multivariable closed-loop control algorithm which administers ‘optimally’ the above two drugs simultaneously in the operating theatre during surgery.