一种基于模型的机械通气模糊逻辑决策系统

发布时间：2018-04-04 01:44

本文选题：机械通气　切入点：肺部气体交换模型　出处：《生物医学工程学杂志》2016年04期

【摘要】：机械通气是临床上用于改善患者呼吸的重要辅助手段,所以机械通气参数设定的正确与否直接影响着患者体内的气体交换过程。本文尝试建立一种基于人体肺部气体交换数学模型的机械通气模糊逻辑决策系统。人体肺部气体交换数学模型可以根据患者的生理参数模拟出患者的肺部气体交换情况,便于临床医生更好地了解和掌握患者的病情。决策系统应用模糊控制的方法提出适合患者的机械通气设定参数,为临床医生进行机械通气的设置提供参考。实验选取10名在ICU接受机械通气治疗的患者,系统根据每一位患者的生理参数建立了相应的气体交换数学模型,并提供了适合患者的机械通气设定参数,与患者当前接受的机械通气设定参数进行对比。结果表明系统提出的机械通气设定参数在满足患者气体交换要求的前提下尽可能地降低了吸入氧浓度的值,在满足分钟通气量的前提下尽可能地降低患者呼吸功,改善了患者的气体交换情况。
[Abstract]:Mechanical ventilation is an important auxiliary means for improving the respiratory clinic, so set the exchange process parameters of mechanical ventilation is correct or not directly affects the gas patients. This paper attempts to establish a mathematical model of human lung mechanical ventilation exchange gas based on the fuzzy logic decision system. The human lung gas exchange model according to the physiological parameters of patients the simulated pulmonary gas exchange in patients, clinicians can better understand and master the patient. Methods of application of decision making system of fuzzy control is proposed for the patients with mechanical ventilation parameters, provide a reference for clinicians in mechanical ventilation settings. We selected 10 ICU patients treated with mechanical ventilation, according to the physiological system the parameters for each patient to establish the corresponding mathematical model of gas exchange, and provides for patients Mechanical ventilation parameters, compared with mechanical ventilation in patients with currently accepted parameters. The results show that the mechanical ventilation system proposed by setting parameters in order to meet the requirements of patients with gas exchange as much as possible under reduced oxygen concentration values in minute ventilation under the premise of meet as far as possible to reduce the work of breathing, improve in gas exchange.

【作者单位】：厦门大学附属成功医院;
【分类号】：R459.7

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