Design Adaptive controller and learning controller to control the pacemaker: تصميم متحكم تكيفي ومتحكم متعلم للتحكم بناظم الخطى القلبي

Eliatha Nasr Alden Alebrahem, Jomana Mahmoud Diab,
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Abstract

Pacemakers play a vital role in the management of electrical disorders of the heart, as having a controller that presents a signal that generates a correct heart rate without delay or overshoot is important, to provide better quality and long-term patient's life. Many advances in pacemaker control technology have been achieved, making today's pacemakers capable of correcting many electrical heart abnormalities. In this paper, a fuzzy model reference learning control was designed to control the pacemaker, and compared with a controller adopts the adaptive mechanism instead of the learning mechanism, in order to confirm the importance of learning in the controller.  The controller automatically controls the heart rate (Heart Rate: HR) to prevent it from falling under a reference value and makes it track preset signal accurately. The learning controller achieved better performance than the adaptive controller and the learning controller achieved when comparing with the similar intelligent ones that proposed to control pacemaker the required response with a small settling time 0.9s, and minimized the overshoot at start-up operation where overshoot was 0.2%
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设计自适应控制器和学习控制器控制起搏器:تصميممتحكمتكيفيومتحكممتعلمللتحكمبناظمالخطىالقلبي
起搏器在心脏电紊乱的管理中起着至关重要的作用,因为有一个控制器,它可以发出一个信号,产生正确的心率,而不会延迟或超调,这对于提供更好的质量和长期的患者生活是很重要的。起搏器控制技术取得了许多进步,使今天的起搏器能够纠正许多心脏电异常。本文设计了一种模糊模型参考学习控制来控制起搏器,并与采用自适应机制代替学习机制的控制器进行了比较,以证实学习在控制器中的重要性。控制器自动控制心率(heart rate: HR),防止心率低于参考值,准确跟踪预设信号。学习控制器的性能优于自适应控制器,与同类智能控制器相比,学习控制器在0.9s的稳定时间内控制起搏器所需的响应,并使启动时的超调量最小,超调量为0.2%
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