心脏麻醉智能报警的模糊逻辑方法

K. Becker, H. Käsmacher, Günther Rau, G. Kalff, Hans-Jürgen Zimmermann
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引用次数: 15

摘要

对接受心脏手术的病人进行麻醉的麻醉师最重要的任务之一是评估病人的血流动力学状态。在心脏手术中,当心脏在停跳数小时后重新开始工作时,其重要参数(血压、心率等)可以达到极值和波动。当前的警报设备会产生级联警报,但由于手术室内的永久性噪音水平会干扰手术团队,因此通常会关闭警报设备。一个智能报警系统,以支持麻醉师在这种情况下已经开发。该系统在线工作,从全身麻醉信息系统收集所有需要的数据。基于麻醉医师的决策过程,采用模糊推理方法对最重要的关键参数群进行评价,并在用户界面上以图形化的方式呈现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fuzzy logic approach to intelligent alarms in cardioanesthesia
One of the most important tasks of the anaesthetist performing anaesthesia to a patient undergoing cardiac surgery is the evaluation of the patient's hemodynamic state. During cardiac operation when the heart comes to work again after hours of cardioplegia the vital parameters (blood pressure, heart rate, etc.) can reach extreme values and fluctuations. Current alarm facilities are triggered yielding an alarm cascade and often turned off because the permanent noise level in the operating theatre disturbs the surgical team. An intelligent alarm system to support the anaesthetist in this situation has been developed. The system works online, gathering all required data from a general anaesthesia information system. Based on the decision making process of the anaesthetist, the most important vital parameter constellations are evaluated using a fuzzy inference approach, and are presented graphically on the user interface.<>
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