Imperial College London

Dr Pau Herrero-Viñas

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Fellow
 
 
 
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Contact

 

p.herrero-vinias CV

 
 
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Location

 

B422Bessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Herrero:2018:10.1177/1932296818761752,
author = {Herrero, P and Bondia, J and Giménez, M and Oliver, N and Georgiou, P},
doi = {10.1177/1932296818761752},
journal = {Journal of Diabetes Science and Technology},
pages = {282--294},
title = {Automatic adaptation of Basal insulin using sensor-augmented pump therapy},
url = {http://dx.doi.org/10.1177/1932296818761752},
volume = {12},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - BACKGROUND: People with insulin-dependent diabetes rely on an intensified insulin regimen. Despite several guidelines, they are usually impractical and fall short in achieving optimal glycemic outcomes. In this work, a novel technique for automatic adaptation of the basal insulin profile of people with diabetes on sensor-augmented pump therapy is presented. METHODS: The presented technique is based on a run-to-run control law that overcomes some of the limitations of previously proposed methods. To prove its validity, an in silico validation was performed. Finally, the artificial intelligence technique of case-based reasoning is proposed as a potential solution to deal with variability in basal insulin requirements. RESULTS: Over a period of 4 months, the proposed run-to-run control law successfully adapts the basal insulin profile of a virtual population (10 adults, 10 adolescents, and 10 children). In particular, average percentage time in target [70, 180] mg/dl was significantly improved over the evaluated period (first week versus last week): 70.9 ± 11.8 versus 91.1 ± 4.4 (adults), 46.5 ± 11.9 versus 80.1 ± 10.9 (adolescents), 49.4 ± 12.9 versus 73.7 ± 4.1 (children). Average percentage time in hypoglycemia (<70 mg/dl) was also significantly reduced: 9.7 ± 6.6 versus 0.9 ± 1.2 (adults), 10.5 ± 8.3 versus 0.83 ± 1.0 (adolescents), 10.9 ± 6.1 versus 3.2 ± 3.5 (children). When compared against an existing technique over the whole evaluated period, the presented approach achieved superior results on percentage of time in hypoglycemia: 3.9 ± 2.6 versus 2.6 ± 2.2 (adults), 2.9 ± 1.9 versus 2.0 ± 1.5 (adolescents), 4.6 ± 2.8 versus 3.5 ± 2.0 (children), without increasing the percentage time in hyperglycemia. CONCLUSION: The present study shows the potential of a novel technique to effectively adjust the basal insulin profile of a type 1 diab
AU - Herrero,P
AU - Bondia,J
AU - Giménez,M
AU - Oliver,N
AU - Georgiou,P
DO - 10.1177/1932296818761752
EP - 294
PY - 2018///
SN - 1932-2968
SP - 282
TI - Automatic adaptation of Basal insulin using sensor-augmented pump therapy
T2 - Journal of Diabetes Science and Technology
UR - http://dx.doi.org/10.1177/1932296818761752
UR - https://www.ncbi.nlm.nih.gov/pubmed/29493359
UR - http://hdl.handle.net/10044/1/72147
VL - 12
ER -