A novel way to represent weekly blood sugar data to increase user understanding and control
Year: 2026
Type: article
Abstract: BACKGROUND: Tight control of blood glucose is associated with good health. This is easier to achieve with continuous glucose monitoring. However, patients need to be able to interpret the data without reference to experts. Simplifying the visual display, can simplify decisions. Appropriate display of data can lead to improved control and health. METHODS: A novel method to display data: Mapping time series data onto a spiral - one day is a single turn, a week is seven. The colour of the line is related to the blood sugar level. RESULTS: Plots which are simpler and easier to interpret.
Authors: Peter J. Kyberd, Alix Chadwell, Matthew Lee, Farooq Othman Farooq Al Safi
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funder: Norges Forskningsråd
OpenAlex ID: W7142294597
