Design of a fractional order two layer fuzzy logic controller for drug delivery to regulate blood pressure

Kumar, Anupam; Raj, Rishi

doi:10.1016/j.bspc.2022.104024

Cited by 8 publications

(2 citation statements)

References 58 publications

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“…The Fuzzy Logic (FL) approach utilized by Kumar & Raj (2022) helped to model and design a controller for the automatic delivery of drug for monitoring and regulating arterial blood pressure. This FL model has controlled the drug infusion rate of sodium nitroprusside in a rational limit and the same has been validated with the experimental results.…”

Section: Materials For Drug Delivery Systemsmentioning

confidence: 99%

Computational intelligence based design of biomaterials

Arulraj¹,

Datta²

2022

cmms

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This paper presents an overview of the applications of computational intelligence techniques, viz. artificial neural networks, fuzzy inference systems, and genetic algorithms, for the design of biomaterials with improved performance. These techniques are basically used for developing data-driven models and for optimization. The paper introduces the domain of biomaterials and how they can be designed using computational intelligence techniques. Then a brief description of the tools is made, followed by the applications of the tools in various domains of biomaterials. The applications range in all classes of materials ranging from alloys to composites. There are examples of applications for the surface treatment of biomaterials, materials for drug delivery systems, materials for scaffolds and even in implant design. It is found the tools can be effectively used for designing new and improved biomaterials.

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Section: Materials For Drug Delivery Systemsmentioning

confidence: 99%

Computational intelligence based design of biomaterials

Arulraj¹,

Datta²

2022

cmms

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“…Fractional-order PID controllers have been previously considered for controlling biological systems [36][37][38], as well as possible solutions for automated drug dosing in anesthesia to regulate the depth of hypnosis [39][40][41]. Most of the existing control strategies deal with a single-input-single-output perspective of controlling BIS levels in patients using propofol or other drugs.…”

Section: Introductionmentioning

confidence: 99%

Fractional-Order Control Strategy for Anesthesia–Hemodynamic Stabilization in Patients Undergoing Surgical Procedures

et al. 2022

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Fractional calculus has been opening new doors in terms of better modeling and control of several phenomena and processes. Biomedical engineering has seen a lot of combined attention from clinicians, control engineers and researchers in their attempt to offer individualized treatment. A large number of medical procedures require anesthesia, which in turn requires a closely monitored and controlled level of hypnosis, analgesia and neuromuscular blockade, as well maintenance of hemodynamic variables in a safe range. Computer-controlled anesthesia has been given a tremendous amount of attention lately. Hemodynamic stabilization via computer-based control is also a hot topic. However, very few studies on automatic control of combined anesthesia–hemodynamic systems exist despite the fact that hemodynamics is strongly influenced by hypnotic drugs, while the depth of hypnosis is affected by drugs used in hemodynamic control. The very first multivariable fractional-order controller is developed in this paper for the combined anesthesia–hemodynamic system. Simulation studies on 24 patients show the effectiveness of the proposed approach.

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