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

dc.contributor.authorRios, Yuliana
dc.contributor.authorGarcia-Rodriguez, Julio
dc.contributor.authorSanchez, Edgar
dc.contributor.authorAlanis, Alma
dc.contributor.authorRuizvelazquez, Eduardo
dc.contributor.authorPardo-Garcia, Aldo
dc.date.accessioned2023-07-25T12:10:03Z
dc.date.available2023-07-25T12:10:03Z
dc.date.issued2022
dc.date.submitted2023
dc.identifier.citationRios, 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).spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/12426
dc.description.abstractType 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 AECEspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceAdvances in Electrical and Computer Engineeringspa
dc.titleOn Board Neuro Fuzzy Inverse Optimal Control for Type 1 Diabetes Mellitus Treatment: In-Silico Testingspa
dcterms.bibliographicCitationInsulin Dependent Diabetes Mellitusspa
dcterms.bibliographicCitationYang, W., Dall, T.M., Beronjia, K., Lin, J., Semilla, A.P., Chakrabarti, R., Hogan, P.F., (...), Petersen, M.P. Economic costs of diabetes in the U.S. in 2017 (2018) Diabetes Care, 41 (5), pp. 917-928. Cited 1403 times. http://care.diabetesjournals.org/content/41/5/917.full-text.pdf doi: 10.2337/dci18-0007spa
dcterms.bibliographicCitationKim, S. Burden of hospitalizations primarily due to uncontrolled diabetes: Implications of inadequate primary health care in the United States (2007) Diabetes Care, 30 (5), pp. 1281-1282. Cited 99 times. http://care.diabetesjournals.org/cgi/reprint/30/5/1281 doi: 10.2337/dc06-2070spa
dcterms.bibliographicCitationBrown, J.B., Pedula, K.L., Bakst, A.W. The progressive cost of complications in type 2 diabetes mellitus (1999) Archives of Internal Medicine, 159 (16), pp. 1873-1880. Cited 197 times. doi: 10.1001/archinte.159.16.1873spa
dcterms.bibliographicCitationYeh, H.-C., Brown, T.T., Maruthur, N., Ranasinghe, P., Berger, Z., Suh, Y.D., Wilson, L.M., (...), Golden, S.H. Comparative effectiveness and safety of methods of insulin delivery and glucose monitoring for diabetes mellitus: A systematic review and meta-analysis (2012) Annals of Internal Medicine, 157 (5), pp. 336-347. Cited 405 times. http://annals.org/data/Journals/AIM/24808/0000605-201209040-00006.pdf doi: 10.7326/0003-4819-157-5-201209040-00508spa
dcterms.bibliographicCitationRios, Y.Y., García-Rodríguez, J.A., Sánchez, O.D., Sanchez, E.N., Alanis, A.Y., Ruiz-Velázquez, E., Arana-Daniel, N. Inverse Optimal Control Using A Neural Multi-Step Predictor for T1DM Treatment (2018) Proceedings of the International Joint Conference on Neural Networks, 2018-July, art. no. 8489197. Cited 9 times. ISBN: 978-150906014-6 doi: 10.1109/IJCNN.2018.8489197spa
dcterms.bibliographicCitationAlanis, A.Y., Rios, Y., García-Rodríguez, J.A., Sanchez, E.N., Ruiz-Velázquez, E., Garcia, A.P. Neuro-fuzzy inverse optimal control incorporating a multistep predictor as applied to T1DM patients (2020) Control Applications for Biomedical Engineering Systems, pp. 1-24. Cited 2 times. https://www.sciencedirect.com/book/9780128174616/control-applications-for-biomedical-engineering-systems ISBN: 978-012817461-6 doi: 10.1016/B978-0-12-817461-6.00001-9spa
dcterms.bibliographicCitationRios, Y.Y., Garcia-Rodriguez, J.A., Sanchez, E.N., Alanis, A.Y., Ruiz-Velazquez, E. Rapid Prototyping of Neuro-Fuzzy Inverse Optimal Control as Applied to T1DM Patients (Open Access) (2018) 2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018, art. no. 8625241. Cited 7 times. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8609898 ISBN: 978-153864625-0 doi: 10.1109/LA-CCI.2018.8625241spa
dcterms.bibliographicCitationPes, P., Herrero, P., Reddy, M., Xenou, M., Oliver, N., Johnston, D., Toumazou, C., (...), Georgiou, P. An advanced bolus calculator for type 1 diabetes: System architecture and usability results (2016) IEEE Journal of Biomedical and Health Informatics, 20 (1), art. no. 7174940, pp. 11-17. Cited 40 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6221020 doi: 10.1109/JBHI.2015.2464088spa
dcterms.bibliographicCitationTurksoy, K., Samadi, S., Feng, J., Littlejohn, E., Quinn, L., Cinar, A. Meal detection in patients with type 1 diabetes: A new module for the multivariable adaptive artificial pancreas control system (2016) IEEE Journal of Biomedical and Health Informatics, 20 (1), art. no. 7124410, pp. 47-54. Cited 102 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6221020 doi: 10.1109/JBHI.2015.2446413spa
dcterms.bibliographicCitationThabit, H., Hovorka, R. Coming of age: the artificial pancreas for type 1 diabetes (2016) Diabetologia, 59 (9), pp. 1795-1805. Cited 171 times. link.springer.de/link/service/journals/00125/index.htm doi: 10.1007/s00125-016-4022-4spa
dcterms.bibliographicCitationKropff, J., Del Favero, S., Place, J., Toffanin, C., Visentin, R., Monaro, M., Messori, M., (...), Magni, L. 2 month evening and night closed-loop glucose control in patients with type 1 diabetes under free-living conditions: A randomised crossover trial (2015) The Lancet Diabetes and Endocrinology, 3 (12), pp. 939-947. Cited 185 times. http://www.journals.elsevier.com/the-lancet-diabetes-and-endocrinology doi: 10.1016/S2213-8587(15)00335-6spa
dcterms.bibliographicCitationQuintero-Manriquez, E., Sanchez, E.N., Harley, R.G., Li, S., Felix, R.A. Neural Inverse Optimal Control Implementation for Induction Motors via Rapid Control Prototyping (Open Access) (2019) IEEE Transactions on Power Electronics, 34 (6), art. no. 8464291, pp. 5981-5992. Cited 23 times. https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=63 doi: 10.1109/TPEL.2018.2870159spa
dcterms.bibliographicCitationGurubel, K.J., Sanchez, E.N., Coronado-Mendoza, A., Zuniga-Grajeda, V., Sulbaran-Rangel, B., Breton-Deval, L. Inverse optimal neural control via passivity approach for nonlinear anaerobic bioprocesses with biofuels production (Open Access) (2019) Optimal Control Applications and Methods, 40 (5), pp. 848-858. Cited 5 times. http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1514 doi: 10.1002/oca.2513spa
dcterms.bibliographicCitationChan, V.M., Hernandez-Vargas, E.A., Sanchez, E.N. Neural inverse optimal control applied to design therapeutic options for patients with COVID-19 (2021) Proceedings of the International Joint Conference on Neural Networks, 2021-July. Cited 2 times. ISBN: 978-073813366-9 doi: 10.1109/IJCNN52387.2021.9534240spa
dcterms.bibliographicCitationChen, T., Babanin, A., Muhammad, A., Chapron, B., Chen, C. Modified evolved bat algorithm of fuzzy optimal control for complex nonlinear systems (Open Access) (2020) Romanian Journal of Information Science and Technology, 23 (T), pp. T28-T40. Cited 50 times. http://www.romjist.ro/full-texts/paper672.pdfspa
dcterms.bibliographicCitationKarahoca, A., Karahoca, D., Kara, A. Diagnosis of diabetes by using adaptive neuro fuzzy inference systems (2009) ICSCCW 2009 - 5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, art. no. 5379497. Cited 11 times. ISBN: 978-142443428-2 doi: 10.1109/ICSCCW.2009.5379497spa
dcterms.bibliographicCitationGeman, O., Chiuchisan, I., Toderean, R. Application of Adaptive Neuro-Fuzzy Inference System for diabetes classification and prediction (Open Access) (2017) 2017 E-Health and Bioengineering Conference, EHB 2017, art. no. 7995505, pp. 639-642. Cited 30 times. ISBN: 978-153860358-1 doi: 10.1109/EHB.2017.7995505spa
dcterms.bibliographicCitationLekkas, S., Mikhailov, L. Evolving fuzzy medical diagnosis of Pima Indians diabetes and of dermatological diseases (Open Access) (2010) Artificial Intelligence in Medicine, 50 (2), pp. 117-126. Cited 76 times. doi: 10.1016/j.artmed.2010.05.007spa
dcterms.bibliographicCitationNath, A., Dey, R., Balas, V.E. Closed loop blood glucose regulation of type 1 diabetic patient using Takagi-Sugeno fuzzy logic control (2018) Advances in Intelligent Systems and Computing, 634, pp. 286-296. Cited 10 times. http://www.springer.com/series/11156 ISBN: 978-331962523-2 doi: 10.1007/978-3-319-62524-9_23spa
dcterms.bibliographicCitationTrevitt, S., Simpson, S., Wood, A. Artificial Pancreas Device Systems for the Closed-Loop Control of Type 1 Diabetes: What Systems Are in Development? (2016) Journal of Diabetes Science and Technology, 10 (3), pp. 714-723. Cited 127 times. http://dst.sagepub.com/content/by/year doi: 10.1177/1932296815617968spa
dcterms.bibliographicCitationDalla Man, C., Micheletto, F., Lv, D., Breton, M., Kovatchev, B., Cobelli, C. The UVA/PADOVA type 1 diabetes simulator: New features (2014) Journal of Diabetes Science and Technology, 8 (1), pp. 26-34. Cited 497 times. doi: 10.1177/1932296813514502spa
dcterms.bibliographicCitationKovatchev, B.P., Breton, M., Dalla Man, C., Cobelli, C. In silico preclinical trials: A proof of concept in closed-loop control of type 1 diabetes (2009) Journal of Diabetes Science and Technology, 3 (1), pp. 44-55. Cited 595 times. http://dst.sagepub.com/content/by/year doi: 10.1177/193229680900300106spa
dcterms.bibliographicCitationAlanis, A.Y., Sanchez, E.N., Loukianov, A.G. Discrete-time adaptive backstepping nonlinear control via high-order neural networks (Open Access) (2007) IEEE Transactions on Neural Networks, 18 (4), pp. 1185-1195. Cited 151 times. doi: 10.1109/TNN.2007.899170spa
dcterms.bibliographicCitationChen, P.-A., Chang, L.-C., Chang, F.-J. Reinforced recurrent neural networks for multi-step-ahead flood forecasts (Open Access) (2013) Journal of Hydrology, 497, pp. 71-79. Cited 108 times. doi: 10.1016/j.jhydrol.2013.05.038spa
dcterms.bibliographicCitationOhsawa, T., Bloch, A.M., Leok, M. Discrete Hamilton-Jacobi theory and discrete optimal control (2010) Proceedings of the IEEE Conference on Decision and Control, art. no. 5717665, pp. 5438-5443. Cited 39 times. ISBN: 978-142447745-6 doi: 10.1109/CDC.2010.5717665spa
dcterms.bibliographicCitationAl-Tamimi, A., Lewis, F.L., Abu-Khalaf, M. Discrete-time nonlinear HJB solution using approximate dynamic programming: Convergence proof (2008) IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 38 (4), pp. 943-949. Cited 821 times. doi: 10.1109/TSMCB.2008.926614spa
dcterms.bibliographicCitationSanchez, E.N., Ornelas-Tellez, F. Discrete-time inverse optimal control for nonlinear systems (Open Access) (2017) Discrete-Time Inverse Optimal Control for Nonlinear Systems, pp. 1-232. Cited 38 times. http://www.tandfebooks.com/doi/book/10.1201/b14779 ISBN: 978-146658088-6; 978-146658087-9 doi: 10.1201/b14779spa
dcterms.bibliographicCitationLi, W., Todorov, E., Liu, D. Inverse optimality design for biological movement systems (2011) IFAC Proceedings Volumes (IFAC-PapersOnline), 44 (1 PART 1), pp. 9662-9667. Cited 25 times. http://www.ifac-papersonline.net/browser?browse=c ISBN: 978-390266193-7 doi: 10.3182/20110828-6-IT-1002.00877spa
dcterms.bibliographicCitationOrnelas, F., Sanchez, E.N., Loukianov, A.G. Discrete-time nonlinear systems inverse optimal control: A control Lyapunov function approach (Open Access) (2011) Proceedings of the IEEE International Conference on Control Applications, art. no. 6044461, pp. 1431-1436. Cited 33 times. ISBN: 978-145771062-9 doi: 10.1109/CCA.2011.6044461spa
dcterms.bibliographicCitationOrnelas-Tellez, F., Sanchez, E.N., Loukianov, A.G., Navarro-Lopez, E.M. Speed-gradient inverse optimal control for discrete-time nonlinear systems (2011) Proceedings of the IEEE Conference on Decision and Control, art. no. 6160374, pp. 290-295. Cited 27 times. ISBN: 978-161284800-6 doi: 10.1109/CDC.2011.6160374spa
dcterms.bibliographicCitationDietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids (Macronutrients) (Open Access) (2005) Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids (Macronutrients), pp. 1-1331. Cited 3165 times. http://nap.edu/10490 ISBN: 030908525X; 978-030908525-0 doi: 10.17226/10490spa
datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_b1a7d7d4d402bccespa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasversioninfo:eu-repo/semantics/draftspa
dc.identifier.doi10.4316/AECE.2022.03001
dc.subject.keywordsGlucose; Hypoglycemia;spa
dc.subject.keywordsInsulin Dependent Diabetes Mellitusspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
dc.type.spahttp://purl.org/coar/resource_type/c_6501spa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_6501spa


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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.