Computational and Mathematical Methods in Medicine
Volume 2011 (2011), Article ID 672039, 7 pages
doi:10.1155/2011/672039
Research Article

Scale Space Methods for Analysis of Type 2 Diabetes Patients' Blood Glucose Values

1Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North Norway, 9038 Tromsø, Norway
2Department of Mathematics and Statistics, University of Tromsø, 9037 Tromsø, Norway

Received 15 September 2010; Accepted 12 January 2011

Academic Editor: Quan Long

Copyright © 2011 Stein Olav Skrøvseth and Fred Godtliebsen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We describe how scale space methods can be used for quantitative analysis of blood glucose concentrations from type 2 diabetes patients. Blood glucose values were recorded voluntarily by the patients over one full year as part of a self-management process, where the time and frequency of the recordings are decided by the patients. This makes a unique dataset in its extent, though with a large variation in reliability of the recordings. Scale space and frequency space techniques are suited to reveal important features of unevenly sampled data, and useful for identifying medically relevant features for use both by patients as part of their self-management process, and provide useful information for physicians.