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A fuzzy-based adaptive multi-input–output scheme in lieu of diabetic and hypertension management for post-operative patients: an human–machine interface approach with its continuum
Neural Computing and Applications ( IF 4.5 ) Pub Date : 2020-05-13 , DOI: 10.1007/s00521-020-04975-8
A. Alavudeen Basha , S. Vivekanandan

Here, a multi-input–output control strategy-based adaptive system is implemented to regulate the glycaemic and hypertension (HT) level concurrently for post-operative patients. The current medical research identifies the relationship between diabetes and HT, and these two diseases have possible overlap in their disease aetiology. Based on the continuum, the blood glucose and blood pressure (BP) have to be measured independently and control the infusion to maintain optimally based on the variations of diabetic mellitus and HT to avoid the major complications for the perioperative condition. Based on the analysis, the post-operative strain may increase HT and may increase the glycaemic level, and this uncertainty of disparity may lead to BP, hyperinsulinemia, cardio diseases, and osmotic diuresis along with hyperglycaemia. The proposed adaptive cascade control strategy illustrates two different types of control loops independently, and these loops adopt an adaptive control strategy with parametric compensation. This adaptive control algorithm integrates the cascade methodology along with expert knowledge to treat these diseases by using adaptation laws with the help of fuzzy logic to regulate the proper insulin and sodium nitroprusside (SNP) infusion. The output response of the plasma glucose concentration and HT regulation was shown along with insulin infusion rate and SNP infusion rate based on the extensive simulation readings. The attained simulation results demonstrate that the adaptive control strategy shows better outcomes for the infusion and may achieve potentially better control on HT and glycaemic levels for post-operative patients.



中文翻译:

基于模糊的自适应多输入输出方案代替术后患者的糖尿病和高血压管理:人机界面方法及其连续过程

在这里,采用了基于多输入输出控制策略的自适应系统来同时调节术后患者的血糖和高血压(HT)水平。当前的医学研究确定了糖尿病和HT之间的关系,并且这两种疾病的病因可能重叠。基于连续体,必须独立测量血糖和血压(BP),并根据糖尿病和HT的变化控制输注以维持最佳状态,以避免围手术期疾病的主要并发症。根据分析,术后劳损可能会升高HT并可能增加血糖水平,并且这种差异的不确定性可能导致BP,高胰岛素血症,心脏疾病和渗透性利尿以及高血糖症。所提出的自适应级联控制策略独立地说明了两种不同类型的控制回路,并且这些回路采用具有参数补偿的自适应控制策略。这种自适应控制算法将级联方法与专家知识相结合,借助自适应逻辑借助模糊逻辑来调节适当的胰岛素和硝普钠(SNP)输注,从而治疗这些疾病。根据广泛的模拟读数,显示了血糖浓度和HT调节的输出响应以及胰岛素输注速率和SNP输注速率。获得的模拟结果表明,自适应控制策略显示了更好的输液效果,并可能为术后患者实现更好的HT和血糖水平控制。

更新日期:2020-05-13
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