Gaussian process modelling of blood glucose response to free-living physical activity data in people with type 1 diabetes
Gaussian process modelling of blood glucose response to free-living physical activity data in people with type 1 diabetes
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
4913-4916
Valletta, John Joseph
47edb52a-ada5-487b-96bf-21b474c892c2
Chipperfield, Andrew J.
524269cd-5f30-4356-92d4-891c14c09340
Byrne, Christopher D.
1370b997-cead-4229-83a7-53301ed2a43c
2 September 2009
Valletta, John Joseph
47edb52a-ada5-487b-96bf-21b474c892c2
Chipperfield, Andrew J.
524269cd-5f30-4356-92d4-891c14c09340
Byrne, Christopher D.
1370b997-cead-4229-83a7-53301ed2a43c
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.
IEEE.
.
Record type:
Conference or Workshop Item
(Paper)
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
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Published date: 2 September 2009
Venue - Dates:
31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, United States, 2009-09-02 - 2009-09-06
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Local EPrints ID: 71741
URI: http://eprints.soton.ac.uk/id/eprint/71741
PURE UUID: 23b1605e-b98a-425a-bd72-1d4ad139a98e
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Date deposited: 05 Jan 2010
Last modified: 14 Mar 2024 02:47
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Author:
John Joseph Valletta
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