On Board Neuro Fuzzy Inverse Optimal Control for Type 1 Diabetes Mellitus Treatment: In-Silico Testing

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Date
2022
Author
Rios, Yuliana
Garcia-Rodriguez, Julio
Sanchez, Edgar
Alanis, Alma
Ruizvelazquez, Eduardo
Pardo-Garcia, Aldo
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Abstract
Type 1 Diabetes Mellitus (T1DM) is one of the most adverse diseases in the modern era; its treatment is mainly based on exogenous insulin injections. The scientific community has formulated strategies to improve insulin supply using state-of-the-art technology. Therefore, this article develops a multi-age glycemic control scheme, which can be implemented in an Artificial Pancreas (AP) device to enhance diabetics treatment. The procedure is based on the implementation of a neuro-fuzzy inverse optimal control (NFIOC) algorithm on the Texas Instrument LAUNCHXLF28069M development board; this controller communicates with the Uva/Padova simulator for diabetics' patients of different ages under predefined meal protocols running on a Personal Computer (PC). The novelty lies in the proposed NFIOC capability to regulate glucose within safe levels for virtual populations of 10 adults, 10 adolescents and, 10 children. © 2022 AECE
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Rios, Y., Garcia-Rodriguez, J., Sanchez, E., Alanis, A., Ruiz-Velazquez, E., & Pardo-Garcia, A. (2022). On Board Neuro Fuzzy Inverse Optimal Control for Type 1 Diabetes Mellitus Treatment: In-Silico Testing. Advances in Electrical & Computer Engineering, 22(3).
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https://hdl.handle.net/20.500.12585/12426
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Scopus - Document details - On Board Neuro Fuzzy Inverse Optimal Control for Type 1 Diabetes Mellitus Treatment_ In-Silico Testing.pdf

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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.