NDLI: Training of Carbohydrate Estimation for People with Diabetes Using Mobile Augmented Reality

Content Provider	PubMed Central
Author	Domhardt, Michael Martin, Tiefengrabner Dinic, Radomir Ulrike, Fötschl Oostingh, Gertie J. Thomas, Stütz Lars, Stechemesser Raimund, Weitgasser Ginzinger, Simon W.
Copyright Year	2015
Abstract	Background: Imprecise carbohydrate counting as a measure to guide the treatment of diabetes may be a source of errors resulting in problems in glycemic control. Exact measurements can be tedious, leading most patients to estimate their carbohydrate intake. In the presented pilot study a smartphone application (BEAR), that guides the estimation of the amounts of carbohydrates, was used by a group of diabetic patients. Methods: Eight adult patients with diabetes mellitus type 1 were recruited for the study. At the beginning of the study patients were introduced to BEAR in sessions lasting 45 minutes per patient. Patients redraw the real food in 3D on the smartphone screen. Based on a selected food type and the 3D form created using BEAR an estimation of carbohydrate content is calculated. Patients were supplied with the application on their personal smartphone or a loaner device and were instructed to use the application in real-world context during the study period. For evaluation purpose a test measuring carbohydrate estimation quality was designed and performed at the beginning and the end of the study. Results: In 44% of the estimations performed at the end of the study the error reduced by at least 6 grams of carbohydrate. This improvement occurred albeit several problems with the usage of BEAR were reported. Conclusions: Despite user interaction problems in this group of patients the provided intervention resulted in a reduction in the absolute error of carbohydrate estimation. Intervention with smartphone applications to assist carbohydrate counting apparently results in more accurate estimations.
Related Links	http://dx.doi.org/10.1177/1932296815578880
Ending Page	524
Page Count	9
Starting Page	516
File Format	PDF
ISSN	19322968
e-ISSN	19322968
Journal	Journal of Diabetes Science and Technology
Issue Number	3
Volume Number	9
Language	English
Publisher	SAGE Publications
Publisher Date	2015-05-01
Access Restriction	Open
Rights Holder	SAGE Publications
Subject Keyword	Internal Medicine Bioengineering Endocrinology, Diabetes and Metabolism Biomedical Engineering Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Endocrinology, Diabetes and Metabolism Internal Medicine Bioengineering Biomedical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Computer Vision-Based Carbohydrate Estimation for Type 1 Patients With Diabetes Using Smartphones

Using Patient-Generated Health Data From Mobile Technologies for Diabetes Self-Management Support

Improving Type 1 Diabetes Management With Mobile Tools

Early Detection of Physical Activity for People With Type 1 Diabetes Mellitus

The Effect of Using a Shared Electronic Health Record on Quality of Care in People With Type 2 Diabetes

Integrating Visual Dietary Documentation in Mobile-Phone-Based Self-Management Application for Adolescents With Type 1 Diabetes

Patient-oriented Computerized Clinical Guidelines for Mobile Decision Support in Gestational Diabetes

Importance of Blood Glucose Meter and Carbohydrate Estimation Accuracy

Accessibility of Insulin Pump Displays to People With Low Vision

Training of Carbohydrate Estimation for People with Diabetes Using Mobile Augmented Reality

Similar Documents

Computer Vision-Based Carbohydrate Estimation for Type 1 Patients With Diabetes Using Smartphones

Using Patient-Generated Health Data From Mobile Technologies for Diabetes Self-Management Support

Improving Type 1 Diabetes Management With Mobile Tools

Early Detection of Physical Activity for People With Type 1 Diabetes Mellitus

The Effect of Using a Shared Electronic Health Record on Quality of Care in People With Type 2 Diabetes

Integrating Visual Dietary Documentation in Mobile-Phone-Based Self-Management Application for Adolescents With Type 1 Diabetes

Patient-oriented Computerized Clinical Guidelines for Mobile Decision Support in Gestational Diabetes

Importance of Blood Glucose Meter and Carbohydrate Estimation Accuracy

Accessibility of Insulin Pump Displays to People With Low Vision

Training of Carbohydrate Estimation for People with Diabetes Using Mobile Augmented Reality