Title
Algorithm for offline recalibration of recorded CGM traces
Date Issued
03 July 2018
Access level
metadata only access
Resource Type
conference paper
Author(s)
Johannes Kepler University
Publisher(s)
IEEE Computer Society
Abstract
Continuous glucose monitoring (CGM) systems are becoming increasingly popular for the management of type 1 diabetes mellitus (T1DM). Even though measurement performance has increased tremendously over the last couple of years, measured CGM values still have a significantly lower measurement accuracy than top-of-the-market blood glucose (BG) meters. Reasons for this difference in accuracy are the time delays of CGM recordings as compared to the BG dynamics, CGM misscalibrations and changes in sensor sensitivity over time. Against this background the current paper presents an algorithm for the offline recalibration of recorded CGM current signals based on regular BG point measurements by means of self-monitoring of blood glucose (SMBG). As a result an estimate of a continuous BG signal is computed together with an estimate for the change in sensor sensitivity over time and the CGM time delays. This algorithm is useful for analyzing characteristics of a new CGM sensor, but also to compute accurate numbers for the patients' glycemic control during a clinical trial.
Start page
231
End page
236
Volume
2018-March
Language
English
OCDE Knowledge area
Tecnologías que implican la manipulación de células, tejidos, órganos o todo el organismo
Endocrinología, Metabolismo (incluyendo diabetes, hormonas)
Subjects
Scopus EID
2-s2.0-85050031964
Source
Middle East Conference on Biomedical Engineering, MECBME
Resource of which it is part
Middle East Conference on Biomedical Engineering, MECBME
ISSN of the container
21654247
ISBN of the container
9781538614617
Conference
4th IEEE Middle East Conference on Biomedical Engineering, MECBME 2018
Sources of information:
Directorio de Producción Científica
Scopus