Neonatal hypoglycaemia is common in at-risk infants and can cause adverse neurologic
outcomes in later life. Continuous glucose monitoring (CGM) technology offers a way to
continuously monitor patient condition, helping to detect hypoglycaemia as well as provide
insight into the general glycaemic state of the patient. Characterising Glycaemic States can
be easily done by eye, but no simple, clinically relevant algorithm exists to do this
characterisation analytically or computationally. This paper presents such an algorithm to …