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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. Download the full slide set here.


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. The full results are currently being prepared for publication.

Chief investigator

Rury Holman


University of Oxford


Diabetes Trials Unit, University of Oxford

Reference number