Alshahrani Hussain, Alshahrani Amnah, Karar Mohamed Esmail, Ramadan Ebrahim A
Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra 11961, Saudi Arabia.
Department of Computer Science, Applied College, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia.
Bioengineering (Basel). 2024 Jul 8;11(7):691. doi: 10.3390/bioengineering11070691.
Cardiac pacemakers are used for handling bradycardia, which is a cardiac rhythm of usually less than 60 beats per minute. Therapeutic dual-sensor pacemakers aim to preserve or restore the normal electromechanical activity of the cardiac muscle. In this article, a novel intelligent controller has been developed for implanted dual-sensor cardiac pacemakers. The developed controller is mainly based on intuitionistic fuzzy logic (IFL). The main advantage of the developed IFL controller is its ability to merge the qualitative expert knowledge of cardiologists in the proposed design of controlled pacemakers. Additionally, the implication of non-membership functions with the uncertainty term plays a key role in the developed fuzzy controller for improving the performance of a cardiac pacemaker over other fuzzy control schemes in previous studies. Moreover, the proposed pacemaker control system is efficient for managing all health-status conditions and constraints during the different daily activities of cardiac patients. Consequently, the healthcare of patients with implanted dual-sensor pacemakers can be efficiently improved intuitively.
心脏起搏器用于治疗心动过缓,心动过缓是一种通常每分钟心跳少于60次的心律。治疗性双传感器起搏器旨在维持或恢复心肌的正常机电活动。在本文中,已为植入式双传感器心脏起搏器开发了一种新型智能控制器。所开发的控制器主要基于直觉模糊逻辑(IFL)。所开发的IFL控制器的主要优点是能够在受控起搏器的设计中融合心脏病专家的定性专业知识。此外,非隶属函数与不确定性项的结合在所开发的模糊控制器中起着关键作用,可提高心脏起搏器的性能,优于先前研究中的其他模糊控制方案。此外,所提出的起搏器控制系统在管理心脏病患者不同日常活动期间的所有健康状况和限制方面是有效的。因此,植入双传感器起搏器患者的医疗保健可以直观地得到有效改善。