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Original Article

A fuzzy logic based closed-loop control system for blood glucose level regulation in diabetics

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Pages 64-69 | Published online: 04 Aug 2009

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Read on this site (2)

Sholeh Yasini, Ali Karimpour & Mohammad Bagher Naghibi Sistani. (2012) Knowledge-based Closed-loop Control of Blood Glucose Concentration in Diabetic Patients and Comparison with H∞ Control Technique. IETE Journal of Research 58:4, pages 328-336.
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F. Fereydouneyan, A. Zare & N. Mehrshad. (2011) Using a fuzzy controller optimized by a genetic algorithm to regulate blood glucose level in type 1 diabetes. Journal of Medical Engineering & Technology 35:5, pages 224-230.
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Articles from other publishers (40)

Lars Cederblad, Gustav Eklund, Amund Vedal, Henrik Hill, José Caballero-Corbalan, Jarl Hellman, Niclas Abrahamsson, Inger Wahlström-Johnsson, Per-Ola Carlsson & Daniel Espes. (2023) Classification of Hypoglycemic Events in Type 1 Diabetes Using Machine Learning Algorithms. Diabetes Therapy 14:6, pages 953-965.
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Parichehr Hassanzadeh, Fatemeh Atyabi & Rassoul Dinarvand. (2023) Technical and engineering considerations for designing therapeutics and delivery systems. Journal of Controlled Release 353, pages 411-422.
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Deheng Cai, Wenjing Wu, Marzia Cescon, Wei Liu, Linong Ji & Dawei Shi. (2023) Data-enabled learning and control algorithms for intelligent glucose management: The state of the art. Annual Reviews in Control 56, pages 100897.
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Ankit Sharma, Nilam & Harendra Pal Singh. (2022) Computer-controlled diabetes disease diagnosis technique based on fuzzy inference structure for insulin-dependent patients. Applied Intelligence 53:2, pages 1945-1958.
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Abubakar Isah Ndakara, Moad Essabbar & Hajar Saikouk. 2023. Digital Technologies and Applications. Digital Technologies and Applications 949 956 .
Ankit Sharma, Harendra Pal Singh & Nilam. (2022) A methodical survey of mathematical model-based control techniques based on open and closed loop control approach for diabetes management. International Journal of Biomathematics 15:07.
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Phuwadol Viroonluecha, Esteban Egea-Lopez & Jose Santa. (2022) Evaluation of blood glucose level control in type 1 diabetic patients using deep reinforcement learning. PLOS ONE 17:9, pages e0274608.
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Fabiola Hernandez-Leal, Arnulfo Alanis, Efraín Patiño & Samantha Jimenez. 2021. Agents and Multi-Agent Systems: Technologies and Applications 2021. Agents and Multi-Agent Systems: Technologies and Applications 2021 361 370 .
Goldina Ghosh, Sandipan Roy & Ali Merdji. (2020) A proposed health monitoring system using fuzzy inference system. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 234:6, pages 562-569.
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Adeyinka P. Adedigba, Abdul Rasak Zubair, Abiodun M. Aibinu, Steve A. Adeshina, Olumide Okubadejo & Taliha A. Folorunso. (2019) Towards the Development of Intelligent Insulin Injection Controller For Diabetic Patients. Towards the Development of Intelligent Insulin Injection Controller For Diabetic Patients.
Parichehr Hassanzadeh, Fatemeh Atyabi & Rassoul Dinarvand. (2019) The significance of artificial intelligence in drug delivery system design. Advanced Drug Delivery Reviews 151-152, pages 169-190.
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Saeid Bahremand, Hoo Sang Ko, Ramin Balouchzadeh, H. Felix Lee, Sarah Park & Guim Kwon. (2018) Neural network-based model predictive control for type 1 diabetic rats on artificial pancreas system. Medical & Biological Engineering & Computing 57:1, pages 177-191.
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Selim SOYLU & Kenan DANIŞMAN. (2018) Blood glucose control using an ABC algorithm-based fuzzy-PID controller. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 26, pages 172-183.
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Anirudh Nath, Rajeeb Dey & Valentina E. Balas. 2018. Soft Computing Applications. Soft Computing Applications 286 296 .
Sawsan Morkos Gharghory & Dalia A. El-Dib. (2016) Fuzzy Control System for Regulating the Blood Glucose Level of Diabetes Patients Implemented on FPGA. Journal of Circuits, Systems and Computers 25:12, pages 1650161.
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Sawsan M. Gharghory, Dalia A. El-Dib & Mervat Mahmoud. (2016) Low power fuzzy control system for adjusting the blood glucose level. Low power fuzzy control system for adjusting the blood glucose level.
Jyoti Yadav, Asha Rani & Vijander Singh. (2016) Performance Analysis of Fuzzy-PID Controller for Blood Glucose Regulation in Type-1 Diabetic Patients. Journal of Medical Systems 40:12.
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Mojgan Esna Ashari, Maryam Zekri & Masood Askari. (2015) Control of the blood glucose level in diabetic patient using predictive controller and delay differential equation. Control of the blood glucose level in diabetic patient using predictive controller and delay differential equation.
Peter G. Jacobs, Joseph El Youssef, Jessica Castle, Parkash Bakhtiani, Deborah Branigan, Matthew Breen, David Bauer, Nicholas Preiser, Gerald Leonard, Tara Stonex & W. Kenneth Ward. (2014) Automated Control of an Adaptive Bihormonal, Dual-Sensor Artificial Pancreas and Evaluation During Inpatient Studies. IEEE Transactions on Biomedical Engineering 61:10, pages 2569-2581.
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Sukanya Manna & Abigail M. Jewkes. (2014) Understanding early childhood obesity risks: An empirical study using fuzzy signatures. Understanding early childhood obesity risks: An empirical study using fuzzy signatures.
Seungwan Kim, Jongchel Kim, Kyoungchul Kim, Jung-Ha Lee, Arsen Babajanyan, Barry Friedman & Kiejin Lee. (2014) In vitro monitoring of goat-blood glycemia with a microwave biosensor. Current Applied Physics 14:4, pages 563-569.
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Selim Soylu, Kenan Danisman, Ibrahim Ethem Sacu & Mustafa Alci. (2013) Closed-loop control of blood glucose level in type-1 diabetics: A simulation study. Closed-loop control of blood glucose level in type-1 diabetics: A simulation study.
A.T. Sia, B.L. Sng & H.S. Tan. (2013) Interactive technology in obstetric anaesthesia and analgesia: exploring seamless solutions to jagged problems. International Journal of Obstetric Anesthesia 22:4, pages 322-328.
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Shih-Wei Liu, Hsiao-Ping Huang, Chia-Hung Lin & I-Lung Chien. (2013) Fuzzy-Logic-Based Supervisor of Insulin Bolus Delivery for Patients with Type 1 Diabetes Mellitus. Industrial & Engineering Chemistry Research 52:4, pages 1678-1690.
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F. Ekram, L. Sun, O. Vahidi, E. Kwok & R. B. Gopaluni. (2012) A feedback glucose control strategy for type II diabetes mellitus based on fuzzy logic. The Canadian Journal of Chemical Engineering 90:6, pages 1411-1417.
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Seungwan Kim, Harutyun Melikyan, Jongchel Kim, Arsen Babajanyan, Jung-Ha Lee, Lkhamsuren Enkhtur, Barry Friedman & Kiejin Lee. (2012) Noninvasive in vitro measurement of pig-blood d-glucose by using a microwave cavity sensor. Diabetes Research and Clinical Practice 96:3, pages 379-384.
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Mohamed Al-Fandi, Mohammad A. Jaradat & Yousef Sardahi. (2012) Optimal PID-Fuzzy Logic Controller for type 1 diabetic patients. Optimal PID-Fuzzy Logic Controller for type 1 diabetic patients.
Harutyun Melikyan, Emma Danielyan, Seungwan Kim, Jongchel Kim, Arsen Babajanyan, Jungha Lee, Barry Friedman & Kiejin Lee. (2012) Non-invasive in vitro sensing of d-glucose in pig blood. Medical Engineering & Physics 34:3, pages 299-304.
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Eran AtlasRevital NimriShahar MillerEli A. GrunbergMoshe Phillip. (2010) MD-Logic Artificial Pancreas System. Diabetes Care 33:5, pages 1072-1076.
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Amjad Abu-Rmileh, Winston Garcia-Gabin & Darine Zambrano. (2010) Internal model sliding mode control approach for glucose regulation in type 1 diabetes. Biomedical Signal Processing and Control 5:2, pages 94-102.
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J. Bondia, J. Vehí, C.C. Palerm & P. Herrero. (2010) El Páncreas Artificial: Control Automático de Infusión de Insulina en Diabetes Mellitus Tipo 1. Revista Iberoamericana de Automática e Informática Industrial RIAI 7:2, pages 5-20.
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Senthilkumar Radhakrishnan, Deepak Kolippakkam & Venkatarajan S. Mathura. 2009. Bioinformatics: A Concept-Based Introduction. Bioinformatics: A Concept-Based Introduction 27 37 .
Rob Susanto-Lee, Tyrone Fernando & Victor Sreeram. (2008) Simulation of fuzzy-modified expert PID algorithms for blood glucose control. Simulation of fuzzy-modified expert PID algorithms for blood glucose control.
Sh. Yasini, M. B. Naghibi-Sistani & A. Karimpour. (2008) Active insulin infusion using fuzzy-based closed-loop control. Active insulin infusion using fuzzy-based closed-loop control.
Aaron M Fields, Kevin M Fields & Jeremy W Cannon. (2008) Closed-loop systems for drug delivery. Current Opinion in Anaesthesiology 21:4, pages 446-451.
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W. Kenneth Ward, Julia Engle, Heather M. Duman, Colin P. Bergstrom, Sonia F. Kim & Isaac F. Federiuk. (2008) The Benefit of Subcutaneous Glucagon During Closed-Loop Glycemic Control in Rats With Type 1 Diabetes. IEEE Sensors Journal 8:1, pages 89-96.
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Paul Grant. (2007) A new approach to diabetic control: Fuzzy logic and insulin pump technology. Medical Engineering & Physics 29:7, pages 824-827.
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Venkata Radhakrishna Kondepati & H. Michael Heise. (2007) Recent progress in analytical instrumentation for glycemic control in diabetic and critically ill patients. Analytical and Bioanalytical Chemistry 388:3.
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David C. Klonoff. (2016) The Artificial Pancreas: How Sweet Engineering Will Solve Bitter Problems. Journal of Diabetes Science and Technology 1:1, pages 72-81.
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M.F. Alamaireh. (2006) A Predictive Neural Network Control Approach in Diabetes Management by Insulin Administration. A Predictive Neural Network Control Approach in Diabetes Management by Insulin Administration.

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