ArticleJournal of medical signals and sensors
Regulation of Blood Glucose Concentration in Type 1 Diabetics Using Single Order Sliding Mode Control Combined with Fuzzy On-line Tunable Gain, a Simulation Study.
Article in Journal of medical signals and sensors. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 25 citations in OpenAlex.
- A Modified Single Metamaterial Split-Ring Resonator for Enhanced Sensitivity.Sensors (Basel, Switzerland) · 2026Article
- In Silico Investigation of SNR and Dermis Sensitivity for Optimum Dual-Channel Near-Infrared Glucose Sensor Designs for Different Skin Colors.Biosensors · 2022Article
- Terahertz Asymmetric S-Shaped Complementary Metasurface Biosensor for Glucose Concentration.Biosensors · 2022Article
- Extended Kalman filter state estimation-based nonlinear explicit model predictive control design for blood glucose regulation of type 1 diabetic patient.Medical & biological engineering & computing · 2022Article
- A Review of Non-Invasive Optical Systems for Continuous Blood Glucose Monitoring.Sensors (Basel, Switzerland) · 2021Review
- Variable structure robust controller design for blood glucose regulation for type 1 diabetic patients: A backstepping approach.IET systems biology · 2021Article
- Glucose Level Sensing Using Single Asymmetric Split Ring Resonator.Sensors (Basel, Switzerland) · 2021Article
- Arbitrary-order sliding mode-based robust control algorithm for the developing artificial pancreas mechanism.IET systems biology · 2020Article
- Novel algebraic meal disturbance estimation based adaptive robust control design for blood glucose regulation in type 1 diabetes patients.IET systems biology · 2020Article
- Healthcare Transformation in Singapore With Artificial Intelligence.Frontiers in digital health · 2020Article
- Robust observer based control for plasma glucose regulation in type 1 diabetes patient using attractive ellipsoid method.IET systems biology · 2019Article
- Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.Journal of medical Internet research · 2018Review
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes is considered as a global affecting disease with an increasing contribution to both mortality rate and cost damage in the society. Therefore, tight control of blood glucose levels has gained significant attention over the decades. This paper proposes a method for blood glucose level regulation in type 1 diabetics. The control strategy is based on combining the fuzzy logic theory and single order sliding mode control (SOSMC) to improve the properties of sliding mode control method and to alleviate its drawbacks. The aim of the proposed controller that is called SOSMC combined with fuzzy on-line tunable gain is to tune the gain of the controller adaptively. This merit causes a less amount of control effort, which is the rate of insulin delivered to the patient body. As a result, this method can decline the risk of hypoglycemia, a lethal phenomenon in regulating blood glucose level in diabetics caused by a low blood glucose level. Moreover, it attenuates the chattering observed in SOSMC significantly. It is worth noting that in this approach, a mathematical model called minimal model is applied instead of the intravenously infused insulin-blood glucose dynamics. The simulation results demonstrate a good performance of the proposed controller in meal disturbance rejection and robustness against parameter changes. In addition, this method is compared to fuzzy high-order sliding mode control (FHOSMC) and the superiority of the new method compared to FHOSMC is shown in the results.
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