Dale E Seborg
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Explore the profile of Dale E Seborg including associated specialties, affiliations and a list of published articles.
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Articles
23
Citations
390
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Recent Articles
1.
Pinsker J, Lee J, Dassau E, Seborg D, Bradley P, Gondhalekar R, et al.
Diabetes Care
. 2016 Dec;
40(1):e4-e5.
PMID: 27999007
No abstract available.
2.
Lee J, Dassau E, Gondhalekar R, Seborg D, Pinsker J, Doyle 3rd F
Ind Eng Chem Res
. 2016 Dec;
55(46):11857-11868.
PMID: 27942106
Development of an effective artificial pancreas (AP) controller to deliver insulin autonomously to people with type 1 diabetes mellitus is a difficult task. In this paper, three enhancements to a...
3.
Pinsker J, Lee J, Dassau E, Seborg D, Bradley P, Gondhalekar R, et al.
Diabetes Care
. 2016 Jun;
39(7):1135-42.
PMID: 27289127
Objective: To evaluate two widely used control algorithms for an artificial pancreas (AP) under nonideal but comparable clinical conditions. Research Design And Methods: After a pilot safety and feasibility study...
4.
Dasanayake I, Seborg D, Pinsker J, Doyle 3rd F, Dassau E
Proc IEEE Conf Decis Control
. 2016 Mar;
2015:3834-3839.
PMID: 26997750
In this paper, the dynamic response of blood glucose concentration in response to physical activity of people with Type 1 Diabetes Mellitus (T1DM) is captured by subspace identification methods. Activity...
5.
Dasanayake I, Bevier W, Castorino K, Pinsker J, Seborg D, Doyle 3rd F, et al.
J Diabetes Sci Technol
. 2015 Jul;
9(6):1236-45.
PMID: 26134831
Background: Early detection of exercise in individuals with type 1 diabetes mellitus (T1DM) may allow changes in therapy to prevent hypoglycemia. Currently there is limited experience with automated methods that...
6.
Harvey R, Dassau E, Zisser H, Seborg D, Doyle 3rd F
J Diabetes Sci Technol
. 2014 May;
8(2):307-320.
PMID: 24876583
The Glucose Rate Increase Detector (GRID), a module of the Health Monitoring System (HMS), has been designed to operate in parallel to the glucose controller to detect meal events and...
7.
Harvey R, Dassau E, Bevier W, Seborg D, Jovanovic L, Doyle 3rd F, et al.
Diabetes Technol Ther
. 2014 Jan;
16(6):348-57.
PMID: 24471561
Background: This study was performed to evaluate the safety and efficacy of a fully automated artificial pancreas using zone-model predictive control (zone-MPC) with the health monitoring system (HMS) during unannounced...
8.
Harvey R, Dassau E, Zisser H, Seborg D, Jovanovic L, Doyle F
J Diabetes Sci Technol
. 2013 Jan;
6(6):1345-54.
PMID: 23294779
Background: The purpose of this study was to design and evaluate a safety system for the artificial pancreas device system (APDS). Safe operation of the APDS is a critical task,...
9.
Zhao C, Dassau E, Jovanovic L, Zisser H, Doyle 3rd F, Seborg D
J Diabetes Sci Technol
. 2012 Jul;
6(3):617-33.
PMID: 22768893
Background: Accurate prediction of future glucose concentration for type 1 diabetes mellitus (T1DM) is needed to improve glycemic control and to facilitate proactive management before glucose concentrations reach undesirable concentrations....
10.
Harvey R, Dassau E, Zisser H, Bevier W, Seborg D, Jovanovic L, et al.
Diabetes Technol Ther
. 2012 Jun;
14(8):719-27.
PMID: 22690875
Background: The purpose of this study was to develop a method to compare hypoglycemia prediction algorithms and choose parameter settings for different applications, such as triggering insulin pump suspension or...