Impact of Errors in Carbohydrate Estimation on Control of Blood Glucose in Type 1 Diabetes

Sun, Qingnan; Jankovic, Marko; Mougiakakou, Stavroula (20 November 2018). Impact of Errors in Carbohydrate Estimation on Control of Blood Glucose in Type 1 Diabetes (In Press). In: 2018 14th IEEE Symposium on Neural Networks and Applications (NEUREL) - IEEE Neurel2018. Institute of Electrical and Electronics Engineers

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This article investigates the impact of carbohydrate (CHO) estimation error on three different algorithms for insulin treatment optimisation. The experiments were conducted using the educational version of the UVa/Padova simulator on 11 virtual adult subjects. Under different CHO estimation error levels, two ways of CHO amount announcements were investigated: numerical value and categorical value (Small, Medium, and Large). Results of experiments suggest that by low CHO estimation error, the way of CHO level announcement has low impact on algorithm quality. As the error increases more intelligent algorithmic approaches need to be investigated.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Diabetes Technology
04 Faculty of Medicine > Department of Intensive Care, Emergency Medicine and Anaesthesiology (DINA) > University Emergency Center

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Sun, Qingnan; Jankovic, Marko and Mougiakakou, Stavroula

Subjects:

600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

Publisher:

Institute of Electrical and Electronics Engineers

Language:

English

Submitter:

Stavroula Mougiakakou

Date Deposited:

21 Nov 2018 12:55

Last Modified:

21 Nov 2018 12:55

URI:

https://boris.unibe.ch/id/eprint/121322

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