On Board Neuro Fuzzy Inverse Optimal Control for Type 1 Diabetes Mellitus Treatment: In-Silico Testing
| Title: | On Board Neuro Fuzzy Inverse Optimal Control for Type 1 Diabetes Mellitus Treatment: In-Silico Testing |
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| Authors: | RIOS, Y., GARCIA-RODRIGUEZ, J., SANCHEZ, E., ALANIS, A., RUIZ-VELAZQUEZ, E., PARDO-GARCIA, A. |
| Source: | Advances in Electrical and Computer Engineering, Vol 22, Iss 3, Pp 3-14 (2022) |
| Publisher Information: | Stefan cel Mare University of Suceava, 2022. |
| Publication Year: | 2022 |
| Collection: | LCC:Electrical engineering. Electronics. Nuclear engineering LCC:Computer engineering. Computer hardware |
| Subject Terms: | biomedical electronics, biomedical monitoring, fuzzy neural networks, neurocontrollers, virtual prototyping, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer engineering. Computer hardware, TK7885-7895 |
| More Details: | 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 (NF-IOC) algorithm on the Texas Instrument LAUNCHXL-F28069M 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 NF-IOC capability to regulate glucose within safe levels for virtual populations of 10 adults, 10 adolescents and, 10 children. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1582-7445 1844-7600 |
| Relation: | https://doaj.org/toc/1582-7445; https://doaj.org/toc/1844-7600 |
| DOI: | 10.4316/AECE.2022.03001 |
| Access URL: | https://doaj.org/article/38d5b94f7b96437497b1ab53363ac2ee |
| Accession Number: | edsdoj.38d5b94f7b96437497b1ab53363ac2ee |
| Database: | Directory of Open Access Journals |
| ISSN: | 15827445 18447600 |
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| DOI: | 10.4316/AECE.2022.03001 |
| Published in: | Advances in Electrical and Computer Engineering |
| Language: | English |