Gaussian process modelling of blood glucose response to free-living physical activity data in people with type 1 diabetes


Valletta, John Joseph, Chipperfield, Andrew J. and Byrne, Christopher D. (2009) Gaussian process modelling of blood glucose response to free-living physical activity data in people with type 1 diabetes. In, Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society New York, USA, Institute of Electrical and Electronics Engineers, 4913-4916.

Download

[img] PDF - Publishers print
Download (337Kb)

Description/Abstract

Good blood glucose control is important to people
with type 1 diabetes to prevent diabetes-related complications.
Too much blood glucose (hyperglycaemia) causes long-term
micro-vascular complications, while a severe drop in blood glucose
(hypoglycaemia) can cause life-threatening coma. Finding
the right balance between quantity and type of food intake,
physical activity levels and insulin dosage, is a daily challenge.
Increased physical activity levels often cause changes in blood
glucose due to increased glucose uptake into tissues such as
muscle. To date we have limited knowledge about the minute
by minute effects of exercise on blood glucose levels, in part due
to the difficulty in measuring glucose and physical activity levels
continuously, in a free-living environment. By using a light and
user-friendly armband we can record physical activity energy
expenditure on a minute-by-minute basis. Simultaneously, by
using a continuous glucose monitoring system we can record
glucose concentrations. In this paper, Gaussian Processes are
used to model the glucose excursions in response to physical
activity data, to study its effect on glycaemic control

Item Type: Book Section
Subjects: Q Science > Q Science (General)
R Medicine > R Medicine (General)
Divisions: University Structure - Pre August 2011 > School of Medicine
University Structure - Pre August 2011 > School of Engineering Sciences > Computational Engineering and Design
ePrint ID: 71741
Date Deposited: 05 Jan 2010
Last Modified: 27 Mar 2014 18:51
URI: http://eprints.soton.ac.uk/id/eprint/71741

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics