Innovative diabetes app for smartphone

June 5, 2014
The GoCARB prototype application in use. On the right, a screenshot of the application’s interface provides the estimated volumes and carbohydrate (CHO) grams, together with the recognition map. Stavroula Mougiakakou, ARTORG Center, University of Bern.

An app for smartphones automatically calculates the carbohydrate content of a meal. The programme called "GoCARB" enables diabetics to better plan their meals and to control their blood glucose easier. GoCARB was developed at the ARTORG Institute of the University of Bern in close cooperation with Bern University Hospital.

Approximately 366 million people worldwide – and counting – are affected by diabetes mellitus. According to estimates by the International Diabetes Federation (IDF), it shall be 500 million people worldwide by 2030. That is why the IDF speaks of an "epidemic of the 21st century."

Diabetics must control their increased blood glucose values with medications and furthermore plan their meals so that the does not sharply increase after eating. The amount of carbohydrates in a meal – such as starch and various sugars – is the most important parameter for an increase in blood glucose after eating.

In the course of insulin therapy, the increase in after the intake of carbohydrates is lowered again through the injection of the hormone insulin – so-called "prandial insulin." The correct dose of prandial insulin has to be calculated on the basis of the amount of carbohydrates. But often it is difficult even for the well-trained diabetic to estimate the carbohydrate content of a meal accurately enough.

GoCARB starts here: the mobile application supports diabetics in determining the carbohydrates in meals and specifying the appropriate dose of prandial insulin. In doing so, the smartphone-based system recognises the foodstuffs on a plate by means of photos from a smartphone camera and estimates their carbohydrate content. In turn, the app automatically calculates the prandial insulin dose.

GoCARB is a four-year international research project under the direction of Dr.-Ing. Stavroula Mougiakakou from the ARTORG Center for Biomedical Engineering Research of the University of Bern and Prof. Dr. med. Peter Diem from the University Departement of Endocrinology, Diabetes and Clinical Nutrition. The project was developed in close cooperation with Roche Diagnostics and is financed by the European Commission in the 7th research framework programme.

"We want to improve the personalised treatment of patients with ," says Stavroula Mougiakakou. "There are already apps which help to estimate the carbohydrate content of a meal. But there the foodstuffs must be manually recorded or the programmes do not offer any calculation of prandial insulin."

The GoCARB prototype now offers a very simple method: the user places a reference object next to the meal and records two photos with a smartphone camera. The various foodstuffs – such as meat, vegetables and noodles – are segmented and recognised by the programme, while their form is reconstructed in 3D. Based on the 3D model, the results of segmentation and the reference object, the volume of the individual foodstuff is estimated. Knowledge of the nature and volume of the foodstuff enables the calculation of carbohydrate content with the aid of a nutritional value database. Tests on real meals revealed that the system errs by only ±6-7 grams on average. Based on this carbohydrate content and additional information the bolus calculator calculates the optimal dose for this meal. The prototype works on Android phones so far and is being tested this summer.

"With this prototype we satisfy the need of diabetics for a more effective, automated and precise determination of carbohydrates in foodstuffs – this shall allow them a better diabetes control and indirectly bring them an enhanced quality of life," says Mougiakakou.

Explore further: Study shows dietary fat can affect glucose levels and insulin requirements in type 1 diabetes

More information:

Related Stories

Fat, protein impact postprandial glucose excursion in T1DM

December 19, 2013

(HealthDay)—For children with type 1 diabetes using intensive insulin therapy (IIT), high-fat (HF) and high-protein (HP) meals increase glucose excursions, with an additive effect observed, according to a study published ...

Model predicts blood glucose levels 30 minutes later

March 25, 2014

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 ...

Recommended for you

Major fall in diabetes-related amputations since the 1990s

November 22, 2015

A major new study has found a significant reduction in diabetes-related amputations since the mid-1990s, credited to improvements in diabetes care over this period. The research is published in Diabetologia (the journal of ...

Blocking immune cell treats new type of age-related diabetes

November 18, 2015

Diabetes is often the result of obesity and poor diet choices, but for some older adults the disease might simply be a consequence of aging. New research has discovered that diabetes—or insulin resistance—in aged, lean ...

Bacteria may cause type 2 diabetes

June 1, 2015

Bacteria and viruses have an obvious role in causing infectious diseases, but microbes have also been identified as the surprising cause of other illnesses, including cervical cancer (Human papilloma virus) and stomach ulcers ...


Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.