Computational study of an augmented minimal model for glycaemia control
Open accessAbstract
In this paper we introduce a new model structure for the metabolic effects of intravenous insulin on blood glucose in man and derive its parameter values from the widely used model of Sorensen. The proposed model attempts to combine the advantages of the existing comprehensive and minimal models. Validation of the new model is done through deriving equivalent nonparametric nonlinear models in the form of Principal Dynamic Modes. We show that the new structure can represent the insulin-glucose dynamics of healthy subjects as well as Type 1 and Type 2 diabetics, with appropriate adjustment in its parameters.
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Historically, only the pharmacodynamics of glucagon have been included in comprehensive metabolism models.
“Historically, only the pharmacodynamics of glucagon have been included in comprehensive metabolism models, such as Sorensen's model,11 revisions of the Sorensen model,12,13 and, more recently, the Padova meal model.14”
From Pharmacokinetics Modeling of Exogenous Glucagon in Type 1 Diabetes Mellitus Patients (2013) · cites this paper as [12]
Cites
Bergman, R. N., Phillips, L. S., & Cobelli, C. (1981) · Journal of Clinical Investigation · doi:10.1172/jci110398 · Cited by 1,640 · see citing works
Toffolo, G., Bergman, R. N., Finegood, D. T., Bowden, C. R., & Cobelli, C. (1980) · Diabetes · doi:10.2337/diab.29.12.979 · Cited by 292 · see citing works
Dynamic modeling of free fatty acid, glucose, and insulin: an extended 'minimal model'
Roy, A., & Parker, R. S. (2006) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2006.8.617 · Cited by 99 · see citing works
Modeling methology for nonlinear physiological systems
Marmarelis, V. Z. (1997) · Annals of Biomedical Engineering · doi:10.1007/bf02648038 · Cited by 94 · see citing works
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Herrero, P., Georgiou, P., Oliver, N., Reddy, M., Johnston, D., & Toumazou, C. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700416 · Cited by 55 · see citing works
Modeling Glucagon Action in Patients With Type 1 Diabetes
Emami, A., Youssef, J. E., Rabasa-Lhoret, R., Pineau, J., Castle, J. R., & Haidar, A. (2017) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2016.2593630 · Cited by 20 · see citing works
Pharmacokinetics Modeling of Exogenous Glucagon in Type 1 Diabetes Mellitus Patients
Lv, D., Breton, M. D., & Farhy, L. S. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0150 · Cited by 17 · see citing works
- Authors
- Markakis, M. G., Mitsis, G. D., & Marmarelis, V. Z.
- Affiliations
- University of Southern California (US)
- National Technical University of Athens (GR)
- Venue
- 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Publisher
- IEEE
- Published
- 2008-08
- Volume
- 2008
- Pages
- 5445-5448
- ISSN
- 2375-7477 (ISSN-L)
- OpenAlex
- W2164452776
- Cited by
- 21
- References
- 4
- Citations by year
- 2026: 1 · 2022: 1 · 2021: 1 · 2020: 2 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 3 · 2015: 2 · 2014: 1 · 2013: 4
- FWCI
- 8.77
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- Locations
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
- PubMed (publishedVersion)
- DSpace - NTUA (National Technical University of Athens) (submittedVersion, other-oa)
- Funders
- National Institute of Biomedical Imaging and Bioengineering (P41EB001978)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Keywords
- intravenous insulin, blood glucose dynamics, glucose-insulin dynamics, type 1 diabetes, type 2 diabetes
- MeSH terms
- Blood Glucose, Computer Simulation, Diabetes Mellitus, Type 2, Drug Therapy, Computer-Assisted, Humans, Hypoglycemic Agents, Injections, Intravenous, Insulin, Models, Biological
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