Fuzzy Logic-Based Modeling of the Biological Regulator of Blood Glucose
This paper proposes the utilisation of fuzzy logic so as to design a system which models the biological regulator of blood glucose. That system consists of several fuzzy relations, each one of them modeling a component of the biological glycemia regulator, that is, pancreatic insulin production, net...
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| creator | Romero, José-Luis Sánchez Pastor, Francisco-Javier Ferrández Payá, Antonio Soriano Chamizo, Juan-Manuel García |
| description | This paper proposes the utilisation of fuzzy logic so as to design a system which models the biological regulator of blood glucose. That system consists of several fuzzy relations, each one of them modeling a component of the biological glycemia regulator, that is, pancreatic insulin production, net hepatic glucose balance, insulin dependent and independent glucose uptake, and kidney function. A set of experiments has been carried out by means of a simulation of the proposed model, checking that fuzzy control provides good results for the studied cases. The system could be a basis for developing artificial glycemia control mechanisms to be applied as a therapy for different pathologies, as well as for the development of simulators and monitors to aid diagnosis. |
| doi_str_mv | 10.1007/978-3-540-25929-9_106 |
| format | Book Chapter |
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That system consists of several fuzzy relations, each one of them modeling a component of the biological glycemia regulator, that is, pancreatic insulin production, net hepatic glucose balance, insulin dependent and independent glucose uptake, and kidney function. A set of experiments has been carried out by means of a simulation of the proposed model, checking that fuzzy control provides good results for the studied cases. The system could be a basis for developing artificial glycemia control mechanisms to be applied as a therapy for different pathologies, as well as for the development of simulators and monitors to aid diagnosis.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Biological Regulator</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Fuzzy Rule</subject><subject>Glucose Utilisation</subject><subject>Glycemia Regulation</subject><subject>Insulin Dependent Diabetes Mellitus</subject><subject>Learning and adaptive systems</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540221173</isbn><isbn>3540221174</isbn><isbn>3540259295</isbn><isbn>9783540259299</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2004</creationdate><recordtype>book_chapter</recordtype><recordid>eNotkEFvGjEQhd20iUIpPyHSXnJ0OvbYeH0sUSCRqCpV7dnymjFss8F0vRzg18dARhqNNO-90ehj7E7AgwAw362pOXKtgEttpeXWCZh-Yl-xrM4bfcVGYioER1T2M5uUwFmTQhj8wkaAILk1Cm_YyBaLsVbWt2yS8z8oJdFOjRmxxXx_PB6qZVq3gc98plX1M62oa7frKsVq2FA1a1N3kn1X_ab1vvND6k_arEtpVS26fUiZvrHr6LtMk485Zn_nT38en_ny1-Ll8ceS76SRA5cyGAtKe9_IQOWtSAQYEUz0sTalG6N0DAI8kVHQQKyhaWzUAbRShGN2f7m787l8FHu_DW12u7598_3BCV1rqQGKDy--XKTtmnrXpPSaC0V34usKLoeuAHNnmu7Mt6TUx_U-_d9THhydYoG2Q--7sPG7gfrsEGpTi6kTAl2tEd8B3nx4dw</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Romero, José-Luis Sánchez</creator><creator>Pastor, Francisco-Javier Ferrández</creator><creator>Payá, Antonio Soriano</creator><creator>Chamizo, Juan-Manuel García</creator><general>Springer Berlin / Heidelberg</general><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>FFUUA</scope><scope>IQODW</scope></search><sort><creationdate>2004</creationdate><title>Fuzzy Logic-Based Modeling of the Biological Regulator of Blood Glucose</title><author>Romero, José-Luis Sánchez ; Pastor, Francisco-Javier Ferrández ; Payá, Antonio Soriano ; Chamizo, Juan-Manuel García</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p272t-22c79045aab2ce349fee03f307faf87af8b745fc10aee740b0f80bb9f5c0544e3</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Biological Regulator</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Fuzzy Rule</topic><topic>Glucose Utilisation</topic><topic>Glycemia Regulation</topic><topic>Insulin Dependent Diabetes Mellitus</topic><topic>Learning and adaptive systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Romero, José-Luis Sánchez</creatorcontrib><creatorcontrib>Pastor, Francisco-Javier Ferrández</creatorcontrib><creatorcontrib>Payá, Antonio Soriano</creatorcontrib><creatorcontrib>Chamizo, Juan-Manuel García</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Romero, José-Luis Sánchez</au><au>Pastor, Francisco-Javier Ferrández</au><au>Payá, Antonio Soriano</au><au>Chamizo, Juan-Manuel García</au><au>Slowiński, Roman</au><au>Komorowski, Jan</au><au>Tsumoto, Shusaku</au><au>Grzymala-Busse, Jerzy W</au><au>Tsumoto, Shusaku</au><au>Słowiński, Roman</au><au>Komorowski, Jan</au><au>Grzymała-Busse, Jerzy W.</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Fuzzy Logic-Based Modeling of the Biological Regulator of Blood Glucose</atitle><btitle>Lecture notes in computer science</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2004</date><risdate>2004</risdate><volume>3066</volume><spage>835</spage><epage>840</epage><pages>835-840</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540221173</isbn><isbn>3540221174</isbn><eisbn>3540259295</eisbn><eisbn>9783540259299</eisbn><abstract>This paper proposes the utilisation of fuzzy logic so as to design a system which models the biological regulator of blood glucose. 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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2004, Vol.3066, p.835-840 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_15852500 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Biological Regulator Computer science control theory systems Exact sciences and technology Fuzzy Rule Glucose Utilisation Glycemia Regulation Insulin Dependent Diabetes Mellitus Learning and adaptive systems |
| title | Fuzzy Logic-Based Modeling of the Biological Regulator of Blood Glucose |
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