Skip to main content

Bio-signal Interface Amplifiers: an Introduction

  • Chapter
  • First Online:
Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces
  • 1136 Accesses

Abstract

There are many design challenges involved in the circuit design of implantable neural recording systems. A generic biopotential-recording system is illustrated in Fig. 2.1. First, weak neural signals must be amplified, conditioned, and then digitized. The information then needs to be wirelessly transmitted out of the body to avoid possible infection from transcutaneous connectors. The power consumption increases with the number of recording channels and the complexity of system. However, the power dissipation of miniature implantable devices is limited to prevent excessive tissue heating.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chandran A, Najafi K, Wise K (1999) A new DC baseline stabilization scheme for neural recording microprobes. In: Proceedings of the first joint BMES/EMBS conference, annual fall meeting of the Biomedical Engineering Society, 21st annual international conference of the Engineering in Medicine and Biology Society, Atlanta, Georgia, pp 386–387

    Google Scholar 

  2. Denison T, Consoer K, Santa W, Avestruz A, Cooley J, Kelly A (2009) A 2mW, 100nV/rtHz chopper-stabilized instrumentation amplifier for chronic measurement of neural field potentials. IEEE J Solid-State Circuits 42(12):2934–2945

    Article  Google Scholar 

  3. Donoghue J, Sanes J, Hatsopoulos N, Gaal G (1998) Neural discharge and local field potential oscillations in primate motor cortex during voluntary movements. J Neurophysiol 79:159–173

    Google Scholar 

  4. Gray P, Hurst PJ, Lewis S, Meyer R (2009) Analysis and design of analog integrated circuits. Wiley, Berkeley

    Google Scholar 

  5. Harison R, Charles C (2003) A low-power low-noise cmos amplifier for neural recording applications. IEEE J Solid-State Circuits 39:122–131

    Google Scholar 

  6. Kipke D, ShainW, Buzsaki G, Fetz E, Menderson J, Hetke J, Schalk G (2008) Advanced neurotechnologies for chronic neural interfaces: new horizons and clinical opportunities. J Neurosci 28(46):11830–11838

    Article  Google Scholar 

  7. Leuthardt E, Schalk G, Wolpaw J, Ojemann J, Moran D (2004) A braincomputer interface using electrocorticographic signals in humans. J Neural Eng 1(2):63–71

    Article  Google Scholar 

  8. Levy R, Ashby P, Hutchison W, Lang A, Lozano A, Dostrovsky J (2002) Dependence of subthalamic nucleus oscillations on movement and dopamine in parkinson’s disease. Brain 125:1175–1176

    Article  Google Scholar 

  9. Miller K, Leuthardt E, Schalk G, Rao R, Anderson N, Moran D, Miller J, Ojemann J (2009) Spectral changes in cortical surface potentials during motor movement. J Neurosci 27(9):2424–2432

    Article  Google Scholar 

  10. Najafi K, Wise K (1986) An implantable multielectrode array with on-chip signal processing. IEEE J Solid-State Circuits 21:1035–1044

    Article  Google Scholar 

  11. Nordhausen C, Maynard E, Normann R (1996) Single unit recording capabilities of a 100-microelectrode array. Brain Res 726:129–140

    Article  Google Scholar 

  12. Olsson RH III, Gulari M, Wise K (2002) Silicon neural recording arrays with on-chip electronics for in-vivo data acquisition. Paper presented at the 2nd annual international IEEE-EMBS special topic conference on microtechnologies in medicine and biology, Madison, Wisconsin, 2–4 May 2002

    Google Scholar 

  13. Shenoy P, Miller K, Ojemann J, Rao R (2008) Generalized features for electrocorticographic BCIs. IEEE Trans Biomed Eng 55(1):273–280

    Article  Google Scholar 

  14. Steyaert M, Sansen W (1987) A micropower low-noise monolithic instrumentation amplifier for medical purposes. IEEE J Solid-State Circuits 22(6):1163–1168

    Article  Google Scholar 

  15. Wattanapanitch W, Fee M, Sarpeshkar R (2007) An energy-efficient micropower neural recording amplifier. IEEE Trans Biomed Circ Syst 1(2):136–147

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jeremy Holleman .

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Holleman, J., Zhang, F., Otis, B. (2011). Bio-signal Interface Amplifiers: an Introduction. In: Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6727-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-6727-5_2

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-6726-8

  • Online ISBN: 978-1-4419-6727-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics