US 12,102,796 B2
Model-based personalization scheme of an artificial pancreas for type I diabetes applications
Francis J. Doyle, III, Santa Barbara, CA (US); Eyal Dassau, Santa Barbara, CA (US); Dale E. Seborg, Santa Barbara, CA (US); and Joon Bok Lee, Santa Barbara, CA (US)
Assigned to The Regents of the University of California, Oakland, CA (US)
Filed by The Regents of the University of California, Oakland, CA (US)
Filed on Dec. 14, 2021, as Appl. No. 17/549,935.
Application 17/549,935 is a continuation of application No. 16/574,076, filed on Sep. 17, 2019, granted, now 11,197,955.
Application 16/574,076 is a continuation of application No. 14/792,524, filed on Jul. 6, 2015, granted, now 10,413,664, issued on Sep. 17, 2019.
Application 14/792,524 is a continuation of application No. PCT/US2014/011360, filed on Jan. 13, 2014.
Claims priority of provisional application 61/751,941, filed on Jan. 14, 2013.
Prior Publication US 2022/0105270 A1, Apr. 7, 2022
Int. Cl. A61M 5/172 (2006.01); A61F 2/02 (2006.01)
CPC A61M 5/1723 (2013.01) [A61F 2/022 (2013.01); A61M 2005/1726 (2013.01); A61M 2205/52 (2013.01)] 4 Claims
OG exemplary drawing
 
1. An artificial pancreas system for the delivery of insulin to a diabetic subject, comprising:
a continuous glucose monitor;
an insulin delivery pump; and
a model predictive controller comprising a control algorithm to automatically direct the delivery of insulin from the pump to the diabetic subject based upon input data comprising:
information from the continuous glucose monitor;
time-invariant clinical characteristics of the subject;
the subject's total daily insulin; and
the subject's insulin sensitivity.