A run-to-run framework for prandial insulin dosing: handling real-life uncertainty
Individuals with type 1 diabetes require frequent adjustment of their insulin dose to maintain as near to normal glycaemia as possible. This process is not only burdensome but also, for many, difficult to achieve. As a result, control algorithms to facilitate insulin dosage have been proposed, but h...
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Veröffentlicht in: | International journal of robust and nonlinear control 2007-09, Vol.17 (13), p.1194-1213 |
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creator | Palerm, C. C. Zisser, H. Jovanovič, L. Doyle III, F. J. |
description | Individuals with type 1 diabetes require frequent adjustment of their insulin dose to maintain as near to normal glycaemia as possible. This process is not only burdensome but also, for many, difficult to achieve. As a result, control algorithms to facilitate insulin dosage have been proposed, but have not been completely successful in normalizing glycaemia. Here we present a novel run‐to‐run control algorithm to adjust the meal‐related insulin dose using only post‐prandial blood glucose measurements. For each meal independently, the insulin dose is adjusted based on the performance measure for the same meal the previous day. A robustness analysis is performed which considers the sources of uncertainty typically encountered in clinical use. This shows that the system remains stable even with large uncertainty. Copyright © 2006 John Wiley & Sons, Ltd. |
doi_str_mv | 10.1002/rnc.1103 |
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For each meal independently, the insulin dose is adjusted based on the performance measure for the same meal the previous day. A robustness analysis is performed which considers the sources of uncertainty typically encountered in clinical use. This shows that the system remains stable even with large uncertainty. Copyright © 2006 John Wiley & Sons, Ltd.</description><subject>biomedical control</subject><subject>insulin dosing</subject><subject>robustness</subject><subject>run-to-run control</subject><subject>type 1 diabetes</subject><issn>1049-8923</issn><issn>1099-1239</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNp10E1LwzAYB_AgCs4p-BFyEi-ZT5q2WbzJ0CmMiUOnt5Am6Yzr0pm0zH17OyaCB0_P24_n8EfonMKAAiRXwesBpcAOUI-CEIQmTBzu-lSQoUjYMTqJ8QOguyVpD81ucGg9aWrSFVwGtbKbOixxWQe8DsobpyrsfGwr57Gpo_OLa_ze7bt5gYNVFalcaXHrtQ2Ncr7ZnqKjUlXRnv3UPnq5u30e3ZPJ4_hhdDMhmrGUEZ0Lo1MNXBS2LIegwBTGUJMLYYY6pyyzkECmTUkLIVgxBK4g5zYDpXWmgPXRxf7vOtSfrY2NXLmobVUpb-s2SgaQCZ7yDl7uoQ51jMGWch3cSoWtpCB3ockuNLkLraNkTzeustt_nZxNR3-9i439-vUqLGXOGc_k63Qs50850DcOcs6-AQekfZM</recordid><startdate>20070910</startdate><enddate>20070910</enddate><creator>Palerm, C. C.</creator><creator>Zisser, H.</creator><creator>Jovanovič, L.</creator><creator>Doyle III, F. 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Here we present a novel run‐to‐run control algorithm to adjust the meal‐related insulin dose using only post‐prandial blood glucose measurements. For each meal independently, the insulin dose is adjusted based on the performance measure for the same meal the previous day. A robustness analysis is performed which considers the sources of uncertainty typically encountered in clinical use. This shows that the system remains stable even with large uncertainty. Copyright © 2006 John Wiley & Sons, Ltd.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/rnc.1103</doi><tpages>20</tpages></addata></record> |
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subjects | biomedical control insulin dosing robustness run-to-run control type 1 diabetes |
title | A run-to-run framework for prandial insulin dosing: handling real-life uncertainty |
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