Featured Research

from universities, journals, and other organizations

Model predicts blood glucose levels 30 minutes later

Date:
March 25, 2014
Source:
Penn State
Summary:
A mathematical model can predict with more than 90 percent accuracy the blood glucose levels of individuals with type 1 diabetes up to 30 minutes in advance of imminent changes in their levels -- plenty of time to take preventative action. A person's blood glucose levels fluctuate in response to his or her insulin dose, meal intake, physical activity and emotional state. How great these fluctuations are depends on the individual, explain the researchers.

A mathematical model created by Penn State researchers can predict with more than 90 percent accuracy the blood glucose levels of individuals with type 1 diabetes up to 30 minutes in advance of imminent changes in their levels -- plenty of time to take preventative action.

"Many people with type 1 diabetes use continuous glucose monitors, which examine the fluid underneath the skin," said Peter Molenaar, Distinguished Professor of Human Development and Family Studies and of psychology. "But the glucose levels under the skin trail blood glucose levels from anywhere between 8 and 15 minutes. This is especially problematic during sleep. Patients may become hypoglycemic well before the glucose monitor alarm tells them they are hypoglycemic, and that could lead to death."

According to Molenaar, a person's blood glucose levels fluctuate in response to his or her insulin dose, meal intake, physical activity and emotional state. How great these fluctuations are depends on the individual.

"In the past decade, much progress has been made in the development of a mechanical 'artificial pancreas,' which would be a wearable or implantable automated insulin-delivery system consisting of a continuous glucose monitor, an insulin pump and a control algorithm closing the loop between glucose sensing and insulin delivery," he said. "But creating an artificial pancreas that delivers the right amount of insulin at the right times has been a challenge because it is difficult to create a control algorithm that can handle the variability among individuals. Our new model is able to capture this variability. It predicts the blood glucose levels of individuals based on insulin dose and meal intake."

The researchers created a time-varying model estimated by the extended Kalman filtering technique. This model accounts for time-varying changes in glucose kinetics due to insulin and meal intake.

The team tested the accuracy of its model using an FDA-approved UVa/Padova simulator with 30 virtual patients and five living patients with type 1 diabetes. The results appeared online this week in the Journal of Diabetes Science and Technology.

"We learned that the dynamic dependencies of blood glucose on insulin dose and meal intake vary substantially in time within each patient and between patients," said Qian Wang, professor of mechanical engineering. "The high prediction fidelity of our model over 30-minute intervals allows for the execution of optimal control of fast-acting insulin dose in real time because the initiation of insulin action has a delay of less than 30 minutes. Our approach outperforms standard approaches because all our model parameters are estimated in real time. Our model's configuration of recursive estimator and optimal controller will constitute an effective artificial pancreas."


Story Source:

The above story is based on materials provided by Penn State. The original article was written by Sara LaJeunesse. Note: Materials may be edited for content and length.


Journal Reference:

  1. Q. Wang, P. Molenaar, S. Harsh, K. Freeman, J. Xie, C. Gold, M. Rovine, J. Ulbrecht. Personalized State-space Modeling of Glucose Dynamics for Type 1 Diabetes Using Continuously Monitored Glucose, Insulin Dose, and Meal Intake: An Extended Kalman Filter Approach. Journal of Diabetes Science and Technology, 2014; 8 (2): 331 DOI: 10.1177/1932296814524080

Cite This Page:

Penn State. "Model predicts blood glucose levels 30 minutes later." ScienceDaily. ScienceDaily, 25 March 2014. <www.sciencedaily.com/releases/2014/03/140325164443.htm>.
Penn State. (2014, March 25). Model predicts blood glucose levels 30 minutes later. ScienceDaily. Retrieved September 2, 2014 from www.sciencedaily.com/releases/2014/03/140325164443.htm
Penn State. "Model predicts blood glucose levels 30 minutes later." ScienceDaily. www.sciencedaily.com/releases/2014/03/140325164443.htm (accessed September 2, 2014).

Share This




More Health & Medicine News

Tuesday, September 2, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Get on Your Bike! London Cycling Popularity Soars Despite Danger

Get on Your Bike! London Cycling Popularity Soars Despite Danger

AFP (Sep. 1, 2014) Wedged between buses, lorries and cars, cycling in London isn't for the faint hearted. Nevertheless the number of people choosing to bike in the British capital has doubled over the past 15 years. Duration: 02:27 Video provided by AFP
Powered by NewsLook.com
Can You Train Your Brain To Eat Healthy?

Can You Train Your Brain To Eat Healthy?

Newsy (Sep. 1, 2014) New research says if you condition yourself to eat healthy foods, eventually you'll crave them instead of junk food. Video provided by Newsy
Powered by NewsLook.com
We've Got Mites Living In Our Faces And So Do You

We've Got Mites Living In Our Faces And So Do You

Newsy (Aug. 30, 2014) A new study suggests 100 percent of adult humans (those over 18 years of age) have Demodex mites living in their faces. Video provided by Newsy
Powered by NewsLook.com
Liberia Continues Fight Against Ebola

Liberia Continues Fight Against Ebola

AFP (Aug. 30, 2014) Authorities in Liberia try to stem the spread of the Ebola epidemic by raising awareness and setting up sanitation units for people to wash their hands. Duration: 00:41 Video provided by AFP
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:
from the past week

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins