Authors:
Mark Hoogendoorn
;
Michel C. A. Klein
and
Nataliya M. Mogles
Affiliation:
VU University Amsterdam, Netherlands
Keyword(s):
Diabetes, Model-based reasoning, Intelligent support.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Devices
;
Distributed and Mobile Software Systems
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Human-Computer Interaction
;
Mobile Technologies
;
Mobile Technologies for Healthcare Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Physiological Computing Systems
;
Physiological Modeling
;
Software Engineering
;
Wearable Sensors and Systems
Abstract:
Diabetes Mellitus type I is a disease that forces patients to manage their blood glucose level manually, by balancing their activities, food intake and insulin dosages. There is a large experience with building computational models for blood glucose level in diabetic patients, which are primarily used to design the medication regime for a specific patient. In this paper, the design of an intelligent support application is presented that uses a standard model for blood glucose level to give patients real-time advice about insulin and food intake. The advice is based on measurements of blood glucose level, the electronic agenda of a patient and model-based predictions of the glucose level in the near future. A simulation of the application is presented that illustrates the feasibility of the system.