| Blood glucose level neural model for type 1 diabetes mellitus patients. | |
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MedLine Citation:
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PMID: 22131301 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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This paper deals with the blood glucose level modeling for Type 1 Diabetes Mellitus (T1DM) patients. The model is developed using a recurrent neural network trained with an extended Kalman filter based algorithm in order to develop an affine model, which captures the nonlinear behavior of the blood glucose metabolism. The goal is to derive a dynamical mathematical model for the T1DM as the response of a patient to meal and subcutaneous insulin infusion. Experimental data given by continuous glucose monitoring system is utilized for identification and for testing the applicability of the proposed scheme to T1DM subjects. |
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Authors:
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Alma Y Alanis; Blanca S Leon; Edgar N Sanchez; Eduardo Ruiz-Velazquez |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: International journal of neural systems Volume: 21 ISSN: 0129-0657 ISO Abbreviation: Int J Neural Syst Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2011-12-01 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9100527 Medline TA: Int J Neural Syst Country: Singapore |
Other Details:
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Languages: eng Pagination: 491-504 Citation Subset: IM |
Affiliation:
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CUCEI, Universidad de Guadalajara, Apartado Postal 51-71, Col. las Aguilas, C.P. 45080, Zapopan, Jalisco, Mexico. almayalanis@gmail.com. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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