Analysis of Diabetes Data Using Wavelet Scalograms

Authors

Edward Aboufadel, Grand Valley State University

Department

Mathematics Department

College

College of Liberal Arts and Sciences

Date Range

2012-2013

Disciplines

Physical Sciences and Mathematics

Abstract

Type-1 diabetes is an autoimmune disease that requires constant attention in order to keep a patient's blood glucose in an acceptable range. In recent years, type-1 diabetic patients have begun to use continuous glucose monitors (CGMs) to monitor their blood glucose. In this paper, we describe mathematical methods to create reports based on streams of CGM data, so that blood glucose management can be improved. The mathematical tools used to create the reports includes wavelets scalograms and multidimensional scaling.

Conference Name

Joint Mathematics Meetings

Conference Location

San Diego, CA

ScholarWorks Citation

Aboufadel, Edward, "Analysis of Diabetes Data Using Wavelet Scalograms" (2013). Faculty Scholarly Dissemination Grants. 1275.
https://scholarworks.gvsu.edu/fsdg/1275