Blood glucose (BG) dynamics in individuals with Insulin-Dependent Diabetes Mellitus (IDDM) is a continuous process dependent on the temporal patterning of at least three external behavioral factors: insulin injection, food intake, and physical activity, and on internal factors such as glucose counterregulation.

The time-dependence of BG on these factors is being described in the context of a deterministic dynamical network model based on contemporary understanding of the physiology of insulin-glucose-counterregulation dynamics in individuals with IDDM. Computational algorithms and software for its realization are subsequently developed.

The following interdisciplinary project applies this approach, combined with other techniques such as risk analysis of BG data and frequency-domain analysis of heart rate variability, towards creation of automated algorithms for on-line prediction of hypoglycemia.

"On-line Assessment of Risk of Hypoglycemia" Principal Investigator: Boris Kovatchev, Ph.D.

Funding Agency: NIH/NIDDK