Chief investigator:Rury Holman
Sponsor:University of Oxford
Funder:Diabetes Trials Unit, University of Oxford
This study aimed to determine whether data fusion techniques could be utilised to combine continuous blood glucose monitoring data with other biological measures that may be affected by low blood sugar values, e.g. sweating, heart rate and skin colour, in order to provide an earlier and more reliable warning of imminent hypoglycaemia.
Proof-of-concept study conducted in participants with and without type 1 diabetes who were scheduled to undergo a hypoglycaemia test for clinical purposes, or as part of another trial.
The integrated data fusion model showed multiple plausible signals that could be used to provide earlier warning of imminent hypoglycaemia. Further development of this methodology could have substantial clinical impact, especially for children and hypoglycaemia-prone adults with diabetes. See poster presentation here. The full results are currently being submitted for publication.
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