Literature DB >> 22254332

Development of a fully automated closed loop artificial pancreas control system with dual pump delivery of insulin and glucagon.

Peter G Jacobs1, Joseph El Youssef, Jessica R Castle, Julia M Engle, Deborah L Branigan, Phillip Johnson, Ryan Massoud, Apurv Kamath, W Kenneth Ward.   

Abstract

Patients with diabetes have difficulty controlling their blood sugar and suffer from acute effects of hypoglycemia and long-term effects of hyperglycemia, which include disease of the eyes, kidneys and nerves/feet. In this paper, we describe a new system that is used to automatically control blood sugar in people with diabetes through the fully automated measurement of blood glucose levels and the delivery of insulin and glucagon via the subcutaneous route. When a patient's blood sugar goes too high, insulin is given to the patient to bring his/her blood sugar back to a normal level. To prevent a patient's blood sugar from going too low, the patient is given a hormone called glucagon which raises the patient's blood sugar. While other groups have described methods for automatically delivering insulin and glucagon, many of these systems still require human interaction to enter the venous blood sugar levels into the control system. This paper describes the development of a fully automated closed-loop dual sensor bi-hormonal artificial pancreas system that does not require human interaction. The system described in this paper is comprised of two sensors for measuring glucose, two pumps for independent delivery of insulin and glucagon, and a laptop computer running a custom software application that controls the sensor acquisition and insulin and glucagon delivery based on the glucose values recorded. Two control algorithms are designed into the software: (1) an algorithm that delivers insulin and glucagon according to their proportional and derivative errors and proportional and derivative gains and (2) an adaptive algorithm that adjusts the gain factors based on the patient's current insulin sensitivity as determined using a mathematical model. Results from this work may ultimately lead to development of a portable, easy to use, artificial pancreas device that can enable far better glycemic control in patients with diabetes.

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Year:  2011        PMID: 22254332     DOI: 10.1109/IEMBS.2011.6090127

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  8 in total

1.  Capabilities of Next-Generation Patch Pump: Improved Precision, Instant Occlusion Detection, and Dual-Hormone Therapy.

Authors:  Forrest W Payne; Bradley Ledden; Greg Lamps
Journal:  J Diabetes Sci Technol       Date:  2018-05-24

2.  Factors affecting the success of glucagon delivered during an automated closed-loop system in type 1 diabetes.

Authors:  P A Bakhtiani; J El Youssef; A K Duell; D L Branigan; P G Jacobs; M R Lasarev; J R Castle; W K Ward
Journal:  J Diabetes Complications       Date:  2014-09-16       Impact factor: 2.852

3.  Reprogramming adult human dermal fibroblasts to islet-like cells by epigenetic modification coupled to transcription factor modulation.

Authors:  Liora S Katz; Elizabeth Geras-Raaka; Marvin C Gershengorn
Journal:  Stem Cells Dev       Date:  2013-06-04       Impact factor: 3.272

4.  Clinical utility of insulin and insulin analogs.

Authors:  Ahter D Sanlioglu; Hasan Ali Altunbas; Mustafa Kemal Balci; Thomas S Griffith; Salih Sanlioglu
Journal:  Islets       Date:  2013-03-01       Impact factor: 2.694

5.  Glucagon sensitivity and clearance in type 1 diabetes: insights from in vivo and in silico experiments.

Authors:  Ling Hinshaw; Ashwini Mallad; Chiara Dalla Man; Rita Basu; Claudio Cobelli; Rickey E Carter; Yogish C Kudva; Ananda Basu
Journal:  Am J Physiol Endocrinol Metab       Date:  2015-07-07       Impact factor: 4.310

6.  Automated control of an adaptive bihormonal, dual-sensor artificial pancreas and evaluation during inpatient studies.

Authors:  Peter G Jacobs; Joseph El Youssef; Jessica Castle; Parkash Bakhtiani; Deborah Branigan; Matthew Breen; David Bauer; Nicholas Preiser; Gerald Leonard; Tara Stonex; W Kenneth Ward
Journal:  IEEE Trans Biomed Eng       Date:  2014-05-13       Impact factor: 4.538

7.  Chronotope disruption as a sensitizing concept for understanding chronic illness narratives.

Authors:  Tim Gomersall; Anna Madill
Journal:  Health Psychol       Date:  2014-09-08       Impact factor: 4.267

8.  Blood glucose regulation and control of insulin and glucagon infusion using single model predictive control for type 1 diabetes mellitus.

Authors:  Cifha Crecil Dias; Surekha Kamath; Sudha Vidyasagar
Journal:  IET Syst Biol       Date:  2020-06       Impact factor: 1.615

  8 in total

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