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Design of an Implantable Artificial Pancreas

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Patient-Specific Controller for an Implantable Artificial Pancreas

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Abstract

This chapter presents an overview of the implantable artificial pancreas and its modular components including: (a) scalable micropumps which passively reduce flow rate from the micropump enabling flow reduction of up to 20 times, (b) the insulin reservoir which minimizes the probability of air bubbles, if any, leaving the reservoir and (c) two fluidic flow connections which integrate blood glucose sensing and drug delivery.

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References

  1. E.V. Cauter, F. Mestrez, J. Sturis, K.S. Polonsky, Estimation of insulin secretion rates from c-peptide levels: comparison of individual and standard kinetic parameters for c-peptide clearance. Diabetes 41(3), 368–377 (1992)

    Article  Google Scholar 

  2. J.J. Meier, J.D. Veldhuis, P.C. Butler, Pulsatile insulin secretion dictates systemic insulin delivery by regulating hepatic insulin extraction in humans. Diabetes 54(6), 1649–1656 (2005)

    Article  Google Scholar 

  3. C.C. Palerm, H. Zisser, L. Jovanovic̆, F.J. Doyle, A run-to-run control strategy to adjust basal insulin infusion rates in type 1 diabetes. J. Process Control 18(3–4), 258–265 (2008)

    Article  Google Scholar 

  4. D.A. Gough, L.S. Kumosa, T.L. Routh, J.T. Lin, J.Y. Lucisano, Function of an implanted tissue glucose sensor for more than 1 year in animals. Sci. Transl. Med. 2(42) (2010)

    Article  Google Scholar 

  5. H. Shibata, Y.J. Heo, T. Okitsu, Y. Matsunaga, T. Kawanishi, S. Takeuchi, Injectable hydrogel microbeads for fluorescence-based in vivo continuous glucose monitoring, in Proceedings of the National Academy of Sciences (2010)

    Google Scholar 

  6. D.J. Laser, J.G. Santiago, A review of micropumps. J. Micromech. Microeng. 14(6), R35 (2004)

    Article  Google Scholar 

  7. C. Cobelli, C.D. Man, G. Sparacino, L. Magni, G.D. Nicolao, B.P. Kovatchev, Diabetes models signals and control. IEEE Rev. Biomed. Eng. 2, 54–96 (2009)

    Article  Google Scholar 

  8. L.G. Bleris, J. Garcia, M.V. Kothare, M.G. Arnold, Towards embedded model predictive control for system-on-a-chip applications. J. Process Control 16(3), 255–264 (2006)

    Article  Google Scholar 

  9. K.V. Ling, S.P. Yue, J.M. Maciejowski, A FPGA implementation of model predictive control, in 2006 American Control Conference (Minneapolis, MN, USA, Jun 2006), pp. 1930–1935

    Google Scholar 

  10. L.G. Bleris, P.D. Vouzis, M.G. Arnold, M.V. Kothare, A co-processor FPGA platform for the implementation of real-time model predictive control, in 2006 American Control Conference (Minneapolis, MN, USA, Jun 2006), pp. 1912–1917

    Google Scholar 

  11. K. Basterretxea, K. Benkrid, Embedded high-speed model predictive controller on a FPGA, in 2011 NASA/ESA Conference on Adaptive Hardware and Systems (San Diego, CA, USA, Jun 2011), pp. 327–335

    Google Scholar 

  12. L. Bleris, M. Kothare, Real-time implementation of model predictive control, in 2005 American Control Conference, vol. 6 (Portland, OR, USA, Aug 2005), pp. 4166–4171

    Google Scholar 

  13. L.G. Bleris, M.V. Kothare, Implementation of model predictive control for glucose regulation on a general purpose microprocessor, in Proceedings of the 44th IEEE Conference on Decision and Control (Seville, Spain, Dec 2005), pp. 5162–5167

    Google Scholar 

  14. A.K. Abbes, F. Bouani, M. Ksouri, A microcontroller implementation of constrained model predictive control. Int. J. Electr. Electr. Eng. 5(3), 199–206 (2006)

    Google Scholar 

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Correspondence to Yvonne Ho .

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Ho, Y. (2019). Design of an Implantable Artificial Pancreas. In: Patient-Specific Controller for an Implantable Artificial Pancreas. Springer Theses. Springer, Singapore. https://doi.org/10.1007/978-981-13-2402-4_4

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  • DOI: https://doi.org/10.1007/978-981-13-2402-4_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2401-7

  • Online ISBN: 978-981-13-2402-4

  • eBook Packages: EngineeringEngineering (R0)

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