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标题：Estimating endogenous glucose production during exercise using heart rate: implications for diabetes management
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作者：J.J. Ormsbee ; T. Zhou ; J.L. Knopp 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：15
页码：478-483
DOI：10.1016/j.ifacol.2021.10.302
语种：English
出版社：Elsevier
摘要：AbstractNon-invasive, continuous Endogenous glucose production (EGP) estimation during exercise would help manage and automate insulin and glucose dosing during exercise, providing novel information to more effectively close the loop in managing glucose levels. This study used a combination of new study and literature data to determine relationships between blood lactate concentrations, heart rate (HR), and EGP. From these relationships, EGP can be estimated based on HR, which is continuously and non-invasively available at low cost in exercise. Participants for the exercise protocol were 10 sub-elite athletes who participated in at least 6 hours per week of endurance sports. Lactate as a function of HR during high intensity (HI) exercise has variability R2= 0.49. The variability in the model curve using independent literature values is R2= 0.65. Using these results to create a model of EGP as a function of HR gives an R2= 0.80. This method provides a continuous and non-invasive means of estimating EGP during exercise, including at HI, which is more rarely studied, and can be used to improve diabetes management in exercise.
关键词：Keywordshepatic glucose productiondiabetesexerciseheart rate