Page 235 - Glucose Monitoring Devices
P. 235
238 CHAPTER 11 Retrofitting CGM traces
[9] Toffanin C, Del Favero S, Aiello E, Messori M, Cobelli C, Magni L. Glucose-insulin
model identified in free-living conditions for hypoglycaemia prevention. Journal of
Process Control 2018;64:27e36.
[10] Del Favero S, Facchinetti A, Sparacino G, Cobelli C. Improving accuracy and precision
of glucose sensor profiles: retrospective fitting by constrained deconvolution. IEEE
Transactions on Biomedical Engineering 2014;61(4):1044e53.
[11] Cobelli C, Renard E, Kovatchev B, Keith-Hynes P, Ben Brahim N, Place J, Del
Favero S, Breton M, Farret A, Bruttomesso D, Dassau E, Zisser H, Doyle III F,
Patek S, Avogaro A. Pilot studies of wearable outpatient artificial pancreas in type 1
diabetes. Diabetes Care 2012;35(9):e65e7.
[12] Kovatchev B, Renard E, Cobelli C, Zisser H, Keith-Hynes P, Anderson S, Brown S,
Chernavvsky D, Breton M, Farret A, Pelletier M, Place J, Bruttomesso D, Del
Favero S, Visentin R, Filippi A, Scotton R, Avogaro A, Doyle III F. Feasibility of outpa-
tient fully integrated closed-loop control: first studies of wearable artificial pancreas.
Diabetes Care 2013;36:1851e8.
[13] Del Favero S, Bruttomesso D, Di Palma F, Lanzola G, Visentin R, Filippi A, Scotton R,
Toffanin C, Messori M, Scarpellini S, Keith-Hynes P, Kovatchev BP, Devries JH,
Renard E, Magni L, Avogaro A, Cobelli C. First use of model predictive control in
outpatient wearable artificial pancreas. Diabetes Care 2014;37(5):1212e5.
[14] Del Favero S, Place J, Kropff J, Messori M, Keith-Hynes P, Visentin R, Monaro M,
Galasso S, Boscari F, Toffanin C, Di Palma F, Lanzola G, Scarpellini S, Farret A,
Kovatchev B, Avogaro A, Bruttomesso D, Magni L, DeVries JH, Cobelli C,
Renard E. Multicenter outpatient dinner/overnight reduction of hypoglycemia and
increased time of glucose in target with a wearable artificial pancreas using modular
model predictive control in adults with type 1 diabetes. Diabetes, Obesity and Meta-
bolism 2015;17(5):468e76.
[15] Rebrin K, Steil GM, van Antwerp WP, Mastrototaro JJ. Subcutaneous glucose predicts
plasma glucose independent of insulin: implications for continuous monitoring. Amer-
ican Journal of Physiology 1999;277(3 Pt 1):E561e71.
[16] Facchinetti A, Del Favero S, Sparacino G, Castle JR, Ward WK, Cobelli C. Modeling
the glucose sensor error. IEEE Transactions on Biomedical Engineering 2014;61(3):
620e9.
[17] Garg SK, Voelmle M, Gottlieb PA. Time lag characterization of two continuous glucose
monitoring systems. Diabetes Research and Clinical Practice 2010;87(3):348e53.
[18] Nicolao GD, Sparacino G, Cobelli C. Nonparametric input estimation in physiological
systems: problems, methods, and case studies. Automatica 1997;33(5):851e70.
Available from: http://www.sciencedirect.com/science/article/pii/S0005109896002543.
[19] Tikhonov A, Arsenin V. Solutions of ill-posed problems. Washington: Winston/Wiley;
1977.
[20] Luijf YM, DeVries JH, Zwinderman K, Leelarathna L, Nodale M, Caldwell K,
Kumareswaran K, Elleri D, Allen JM, Wilinska ME, Evans ML, Hovorka R, Doll W,
Ellmerer M, Mader JK, Renard E, Place J, Farret A, Cobelli C, Del Favero S, Dalla
Man C, Avogaro A, Bruttomesso D, Filippi A, Scotton R, Magni L, Lanzola G, Di
Palma F, Soru P, Toffanin C, De Nicolao G, Arnolds S, Benesch C, Heinemann L.
Day and night closed-loop control in adults with type 1 diabetes: a comparison of
two closed-loop algorithms driving continuous subcutaneous insulin infusion versus
patient self-management. Diabetes Care 2013;36(12):3882e7.