Using dynamic methods to analyze biomedical data
Ahmet Ugur, associate professor of computer science, received an award in collaboration with Professor Jeffrey Kaiser, M.D. at the University of Arkansas Medical School in Little Rock, to study the relationship between heart rate and hemorrhaging in infants.
The two are studying heart rate dynamics as a predictor of intraventricular hemorrhage (IVH) in premature infants. Annually, nearly 5,000 extremely low birth weight (ELBW) infants in the U.S. develop this devastating complication and the long-term cognitive, behavioral and learning disabilities.
"Our overall goal is to evaluate physiological phenomena associated with IVH in order to predict those infants most at risk and to develop best care clinical practices that may subsequently limit severe IVH in ELBW infants," says Ugur, who is using his expertise in advanced nonlinear dynamical methods to analyze IVH data.