Model-based blood glucose control for Type 1 diabetes via parametric programming.
Identifieur interne : 003184 ( Main/Exploration ); précédent : 003183; suivant : 003185Model-based blood glucose control for Type 1 diabetes via parametric programming.
Auteurs : Pinky Dua [Royaume-Uni] ; Francis J. Doyle ; Efstratios N. PistikopoulosSource :
- IEEE transactions on bio-medical engineering [ 0018-9294 ] ; 2006.
Descripteurs français
- KwdFr :
- Diabète de type 1 (métabolisme), Diabète de type 1 (traitement médicamenteux), Glycémie (analyse), Glycémie (métabolisme), Humains (MeSH), Hypoglycémiants (administration et posologie), Insuline (administration et posologie), Insuline (sang), Modèles biologiques (MeSH), Pharmacothérapie assistée par ordinateur (méthodes), Relation dose-effet des médicaments (MeSH), Résultat thérapeutique (MeSH), Simulation numérique (MeSH).
- MESH :
- administration et posologie : Hypoglycémiants, Insuline.
- analyse : Glycémie.
- métabolisme : Diabète de type 1, Glycémie.
- méthodes : Pharmacothérapie assistée par ordinateur.
- sang : Insuline.
- traitement médicamenteux : Diabète de type 1.
- Humains, Modèles biologiques, Relation dose-effet des médicaments, Résultat thérapeutique, Simulation numérique.
English descriptors
- KwdEn :
- Blood Glucose (analysis), Blood Glucose (metabolism), Computer Simulation (MeSH), Diabetes Mellitus, Type 1 (drug therapy), Diabetes Mellitus, Type 1 (metabolism), Dose-Response Relationship, Drug (MeSH), Drug Therapy, Computer-Assisted (methods), Humans (MeSH), Hypoglycemic Agents (administration & dosage), Insulin (administration & dosage), Insulin (blood), Models, Biological (MeSH), Treatment Outcome (MeSH).
- MESH :
- chemical , administration & dosage : Hypoglycemic Agents, Insulin.
- chemical , analysis : Blood Glucose.
- chemical , blood : Insulin.
- chemical , metabolism : Blood Glucose.
- drug therapy : Diabetes Mellitus, Type 1.
- metabolism : Diabetes Mellitus, Type 1.
- methods : Drug Therapy, Computer-Assisted.
- Computer Simulation, Dose-Response Relationship, Drug, Humans, Models, Biological, Treatment Outcome.
Abstract
An advanced model-based control technique for regulating the blood glucose for patients with Type 1 diabetes is presented. The optimal insulin delivery rate is obtained off-line as an explicit function of the current blood glucose concentration of the patient by using novel parametric programming algorithms, developed at Imperial College London. The implementation of the optimal insulin delivery rate, therefore, requires simple function evaluation and minimal on-line computations. The proposed framework also addresses the uncertainty in the model due to interpatient and intrapatient variability by identifying the model parameters which ensure that a feasible control law can be obtained. The developments reported in this paper are expected to simplify the insulin delivery mechanism, thereby enhancing the quality of life of the patient.
DOI: 10.1109/TBME.2006.878075
PubMed: 16916082
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Doyle</name></author><author><name sortKey="Pistikopoulos, Efstratios N" sort="Pistikopoulos, Efstratios N" uniqKey="Pistikopoulos E" first="Efstratios N" last="Pistikopoulos">Efstratios N. 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The optimal insulin delivery rate is obtained off-line as an explicit function of the current blood glucose concentration of the patient by using novel parametric programming algorithms, developed at Imperial College London. The implementation of the optimal insulin delivery rate, therefore, requires simple function evaluation and minimal on-line computations. The proposed framework also addresses the uncertainty in the model due to interpatient and intrapatient variability by identifying the model parameters which ensure that a feasible control law can be obtained. The developments reported in this paper are expected to simplify the insulin delivery mechanism, thereby enhancing the quality of life of the patient.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">16916082</PMID><DateCompleted><Year>2006</Year><Month>09</Month><Day>20</Day></DateCompleted><DateRevised><Year>2011</Year><Month>11</Month><Day>17</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0018-9294</ISSN><JournalIssue CitedMedium="Print"><Volume>53</Volume><Issue>8</Issue><PubDate><Year>2006</Year><Month>Aug</Month></PubDate></JournalIssue><Title>IEEE transactions on bio-medical engineering</Title><ISOAbbreviation>IEEE Trans Biomed Eng</ISOAbbreviation></Journal><ArticleTitle>Model-based blood glucose control for Type 1 diabetes via parametric programming.</ArticleTitle><Pagination><MedlinePgn>1478-91</MedlinePgn></Pagination><Abstract><AbstractText>An advanced model-based control technique for regulating the blood glucose for patients with Type 1 diabetes is presented. The optimal insulin delivery rate is obtained off-line as an explicit function of the current blood glucose concentration of the patient by using novel parametric programming algorithms, developed at Imperial College London. The implementation of the optimal insulin delivery rate, therefore, requires simple function evaluation and minimal on-line computations. The proposed framework also addresses the uncertainty in the model due to interpatient and intrapatient variability by identifying the model parameters which ensure that a feasible control law can be obtained. 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Doyle</name><name sortKey="Pistikopoulos, Efstratios N" sort="Pistikopoulos, Efstratios N" uniqKey="Pistikopoulos E" first="Efstratios N" last="Pistikopoulos">Efstratios N. Pistikopoulos</name></noCountry><country name="Royaume-Uni"><noRegion><name sortKey="Dua, Pinky" sort="Dua, Pinky" uniqKey="Dua P" first="Pinky" last="Dua">Pinky Dua</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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