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. Institute of Electrical and Electronics Engineers., pp. 4913-4916.

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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: Conference or Workshop Item (Paper)
Venue - Dates: 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, United States, 2009-09-02 - 2009-09-06
Subjects:
ePrint ID: 71741
Date :
Date Event
2 September 2009Published
Date Deposited: 05 Jan 2010
Last Modified: 18 Apr 2017 21:01
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/71741

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