DocumentCode :
1951851
Title :
Clinical evaluation and interpretation of a proportional-derivative control model for endogenous insulin secretion response to glucose
Author :
Othman, N.A. ; Docherty, Paul ; Jamaludin, Ummu K. ; Chase, G.
Author_Institution :
Dept. of Mech. Eng., Univ. of Canterbury, Christchurch, New Zealand
fYear :
2012
fDate :
17-19 Dec. 2012
Firstpage :
316
Lastpage :
320
Abstract :
Endogenous insulin (UN) is secreted by pancreatic β cells and plays a key role in regulating blood glucose (BG) concentration. Measuring UN can enable early diagnosis of metabolic dysfunction long before elevated BG might occur. The DISST is a dynamic test that quantifies patient-specific insulin sensitivity (SI) and UN profiles. It uses glucose, insulin and C-peptide models to identify SI and a UN profile from measured concentrations. This study proposes a simple proportional-derivative (PD) control model to define insulin secretion as a function of increasing glucose (derivative control, ΦD) and glucose above basal (proportional control, ΦP). The PD model of UN was fit to 46 DISST tests from 18 individuals. The model agreement was good (median residual 8.0 pmol·L-1, IQR: -50.9 to 51.9 pmol·L-1) and trends were observed at a population level that match known observations. This research presented a PD model to characterise patient-specific UN profiles in such a way that tests responses across tests of different dosage could be more accurately compared.
Keywords :
PD control; biochemistry; biomedical engineering; biomedical measurement; blood; patient diagnosis; C-peptide model; DISST tests; PD control model; blood glucose concentration; dosage; dynamic test; endogenous insulin secretion; glucose model; insulin model; insulin sensitivity; median residual; metabolic dysfunction diagnosis; pancreatic beta cells; patient-specific SI profiles; patient-specific UN profiles; population level; proportional-derivative control model; Insulin sensitivity; Insution secretion; Parameter Identification; Proportional derivative control; Type 2 diabetes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1664-4
Type :
conf
DOI :
10.1109/IECBES.2012.6498161
Filename :
6498161
Link To Document :
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