Title :
A reduced sampling protocol for the identification of insulin sensitivity
Author :
Nguyen, H.T. ; Coates, P. ; Luzio, S. ; Owens, D.R.
Author_Institution :
Dept. of Electr. Eng, Univ. of Technol., Broadway, NSW, Australia
fDate :
31 Oct-3 Nov 1996
Abstract :
Recent prospective studies have demonstrated that low insulin sensitivity is highly predictive for the eventual development of non-insulin dependent diabetes mellitus (NIDDM). In this paper, the authors propose an new 13-sample protocol for the efficient estimation of insulin sensitivity in normal subjects and NIDDM patients. Compared to other reduced sampling protocols, the new protocol estimates insulin sensitivity and glucose effectiveness with better correlation and lower bias
Keywords :
biomedical measurement; organic compounds; statistical analysis; 13-sample protocol; bias; correlation; glucose effectiveness; insulin sensitivity identification; noninsulin dependent diabetes mellitus; normal subjects; patients; reduced sampling protocol; Blood; Clamps; Diabetes; Educational institutions; Engineering in Medicine and Biology Society; Immune system; Insulin; Protocols; Sampling methods; Sugar;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.646411
