Anaesthesia monitoring and control using fuzzy logic fusion
Anaesthesia monitoring and control using fuzzy logic fusion
复制标题
使用模糊逻辑融合进行麻醉监测和控制
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
D. Linkens
中科院分区：
文献类型：
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作者：
M. Abbod;D. Linkens
使用小波变换，提出了一个系统，评估麻醉深度，利用听觉诱发电位，心率和血压测量。分析记录的听觉诱发电位信号，提取其特征，并将其馈送到神经模糊系统，该系统进而决定麻醉状态的深度。此外，使用基于规则的模糊逻辑系统的心率和血压作为第二测量。这两种措施相结合，给最终水平的麻醉深度，使用基于规则的模糊逻辑。麻醉深度水平被反馈到靶控输注系统（TCI），用于控制药物丙泊酚的输注，以维持恒定的麻醉深度水平。模糊逻辑规则库是基于麻醉师提供的药理学知识。
Using wavelet transforms, a system that assesses depth of anaesthesia is proposed that utilises auditory evoked potential, heart rate, and blood pressure measurements. The recorded auditory evoked potential signal is analysed, its features are extracted, and fed to a neurofuzzy system, which in turn decides on the depth of the anaesthetic state. In addition, the heart rate and the blood pressure are used as a second measure using rule-based fuzzy logic system. The two measures are combined to give a final level of depth of anaesthesia using rule-based fuzzy logic. The depth of anaesthesia level is fed back to a Target Controlled Infusion System (TCI) for controlling the infusion of the drug propofol for maintaining a constant level of depth of anaesthesia. The fuzzy logic rule-base is based on pharmacological knowledge provided by the anaesthetist.