Skip to main content

Neurostimulation Design from an Energy and Information Transfer Perspective

  • Chapter
  • First Online:

Part of the book series: Integrated Circuits and Systems ((ICIR))

Abstract

Neurostimulation—defined as electrical charge delivery for the purpose of affecting the behavior of nervous tissue—is one of the fastest growing applications in biomedical engineering. In the United States alone, neurostimulation products represented a $628 million market in 2006 with an expected annual growth rate of 20% [1]. Example applications include neurostimulation for pain control, incontinence, hearing loss, epilepsy and essential tremor. Even more exciting for engineers, researchers and venture capitalists are the nascent and under-developed applications of neurostimulation—particularly neurostimulation to restore function lost to neurological diseases or injury. At the heart of any such system is a circuit which drives neural tissue with electricity. An example radiograph showing the key elements of a neuromodulation system is shown in Fig. 13.1 these elements include the energy source, neurostimulation circuitry, mechanical packaging and stimulating electrodes. All neuromodulation systems have these general elements.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Windhover Information Inc. Neurostimulation market expanding. Web. Jan 2007 http://sis.windhover.com/buy/abstract.php?id=2007400004

  2. Roblee, LS, Rose TL (1990) Electrochemical guidelines for selection of protocols and electrode materials for neural stimulation. neural prostheses fundamental studies. In: Agnew WF, McCreery DB (eds) Englewood Cliffs: Prentice Hall, pp 26–66

    Google Scholar 

  3. Durand DB (2006) Electrical stimulation of excitable systems. biomedical engineering fundamentals. In: Bronzino JD, Raton B (eds). CRC Press, pp 28–1 to 28–21

    Google Scholar 

  4. Merrill DR, et al (2005) Electrical stimulation of excitable tissue: design of efficacious and safe protocols. J Neurosci Methods 141:171–198

    Article  Google Scholar 

  5. Troyk PR, Cogan SF (2005) Sensory neural prostheses. Neural engineering. He B (ed), Kluwer, New York p 7

    Google Scholar 

  6. Sivaprakasam M, et al. (2005) Architecture tradeoffs in high-density microstimulators for retinal prosthesis. IEEE Trans Circuits Sys–I: Regular Papers 52(12), Dec. 2005

    Google Scholar 

  7. Catsoulis J (2005) Designing embedded hardware, 2nd edn. Sebastopol, O’Reilly

    Google Scholar 

  8. Jensen S, et al (2008) Information, Energy, and entropy: design principles for adaptive, therapeutic modulation of neural circuits. In: 2008 European Solid-State Circuits Conference (ESSCIRC 2008), Edinburgh, UK. 32–39

    Google Scholar 

  9. Chavan A, et al (2005) Implantable and rechargeable neural stimulator. U.S. Patent 7,616,990, filed October 24, 2005, and issued November 10, 2009

    Google Scholar 

  10. Harrison R (2007) Designing efficient inductive power links for implantable devices. In: Proc. 2007 IEEE Intl. Symposium on Circuits and Systems (ISCAS 2007), New Orleans, LA, pp 2080–2083

    Google Scholar 

  11. Gord JC, et al. (2008) Method and apparatus for efficient power/data transmission. U.S. Patent 7,379,774, filed October 14, 2004, and issued May 27, 2008

    Google Scholar 

  12. Webster JG (1995) Battery. design of cardiac pacemakers. Webster JG (ed) New York: IEEE Press, 161–170

    Google Scholar 

  13. http://www.quallion.com/images-pdf/BION.pdf

  14. Smith AJ, et al. Precision measurements of the coulombic efficiency of lithium-ion batteries and of electrode materials for lithium-ion batteries. submitted to J Electrochem Soc

    Google Scholar 

  15. Schulman J, et al. (2006) An implantable bionic network of injectable neural prosthetic devices: the future platform for functional electrical stimulation and sensing to restore movement and sensation. Biomedical engineering fundamentals. Bronzino JD, Raton B (eds) CRC Press 34-1 to 34-17

    Google Scholar 

  16. Abejon D, Feler C (2007) Is Impedance a parameter to be taken into account in spinal cord stimulation? Pain Physic 10:533–540

    Google Scholar 

  17. Rothermel A, et al. (2009) A CMOS chip with active pixel array and specific test feature for subretinal implantation. IEEE J Solid-State Circuits 44(1), Jan 2009

    Google Scholar 

  18. McDermott HJ (2006) Cochlear implants. Wiley Encyclopedia of Biomedical Engineering. Hoboken, Wiley

    Google Scholar 

  19. Sooksood K, et al. (2009) Recent advances in charge balancing for functional electrical stimulation. IEEE EMBC 2009, Minneapolis, MN, Sep 2009

    Google Scholar 

  20. Grill WM, et al. (2004) Deep brain stimulation creates an informational lesion of the stimulated nucleus. Neuroreport. 2004 May 19;15(7):1137–1140

    Article  Google Scholar 

  21. Wingeier B, et al. (2005) Intra-operative STN DBS attenuates the prominent beta rhythm in the STN in Parkinson’s disease. Experimental Neurology

    Google Scholar 

  22. Avestruz A, et al. (2008) 5 μW/Channel spectral analysis IC for chronic bidirectional brain-machine interfaces. IEEE J Solid-State Circuits 43(12), Dec 2008

    Google Scholar 

  23. Shoeb A, et al. (2009) A micropower support vector machine based seizure detection architecture for embedded medical devices. IEEE EMBC 2009, Minneapolis, MN, Sep 2009

    Google Scholar 

  24. Berndt A, et al. (2008) Bi-stable neural state switches. Nature Neurosci 12:229–234

    Article  Google Scholar 

  25. Gradinaru V, et al. (2009) Optical deconstruction of parkinsonian neural circuitry. Science 324:354–359

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David A. Dinsmoor .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Dinsmoor, D.A., Hocken, R.W., Santa, W.A., Shah, J.S., Tyler, L., Denison, T.J. (2011). Neurostimulation Design from an Energy and Information Transfer Perspective. In: Yoo, HJ., van Hoof, C. (eds) Bio-Medical CMOS ICs. Integrated Circuits and Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6597-4_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-6597-4_13

  • Published:

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-6596-7

  • Online ISBN: 978-1-4419-6597-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics