DocumentCode :
1868909
Title :
Statistical Modeling of Aggregated Lifestyle and Blood Glucose Data in Type 1 Diabetes Patients
Author :
Skrvseth, S.O. ; Arsand, E. ; Joakimsen, R.M. ; Godtliebsen, Fred
Author_Institution :
Norwegian Centre for Integrated Care & Telemedicine, Tromso, Norway
fYear :
2010
fDate :
10-16 Feb. 2010
Firstpage :
130
Lastpage :
133
Abstract :
We describe how the mobile-phone based Few Touch application for self-management will be used by a significant number of patients with diabetes mellitus Type 1 to assemble a data set with blood glucose concentration time series and information about exercise, diet, and insulin medication. Currently work in progress, these data are intended to be utilized when building a statistical multi-scale model with the primary aim of making short-term forecasts of blood glucose concentration. The system can provide decision support regarding insulin injections in given situations in addition to describing and visualizing long-term variation and provide general information on the patient´s medical situation.
Keywords :
biomedical equipment; blood; medical information systems; mobile computing; patient monitoring; statistical analysis; sugar; Type 1 diabetes patients; blood glucose concentration; diabetes mellitus Type 1; diet; exercise; insulin medication; lifestyle data; mobile phone based Few Touch application; self management; statistical modeling; Blood; Diabetes; Diseases; Hospitals; Insulin; Medical treatment; Production; Sensor systems; Sugar; Telemedicine; Diabetes Mellitus; Mobile software; Statistical modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
eHealth, Telemedicine, and Social Medicine, 2010. ETELEMED '10. Second International Conference on
Conference_Location :
St. Maarten
Print_ISBN :
978-1-4244-5803-5
Type :
conf
DOI :
10.1109/eTELEMED.2010.25
Filename :
5432847
Link To Document :
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