Skip to main content

Peripheral Nerve Signal Processing, Source Localization

  • Living reference work entry
  • First Online:
  • 280 Accesses

Background

Peripheral nerve trunks are composed of many individual nerve fibers (axons) which are segregated into several fascicles. The axons grouped in each fascicle tend to share a common peripheral endpoint, making them anatomically, if not functionally, distinct from those in other fascicles. This suggests that it may be feasible to identify the fascicles from which activity recorded by nerve cuff electrodes originates. For example, given several fascicles terminating separately in extensor and flexor muscle groups, this localization and subsequent separation of signals travelling to these groups could allow the control of prosthetics in people with amputated limbs.

Techniques

Techniques for source localization and separation in peripheral nerves are similar to those in other areas of biomedical signal localization and separation, such as EEG/MEG and ultrasound. These techniques are often referred to as beamforming (or spatial filtering) from ultrasound theory where transmit...

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

References

  • Calvetti D, Wodlinger B, Durand DM, Somersalo E (2011) Hierarchical beamformer and cross-talk reduction in electroneurography. J Neural Eng 8:056002

    Article  PubMed Central  PubMed  Google Scholar 

  • Dhillon GS, Horch KW (2005) Direct neural sensory feedback and control of a prosthetic arm. IEEE Trans Neural Syst Rehab Eng Publ IEEE Eng Med Biol Soc 13:468–472

    Article  Google Scholar 

  • Dhillon GS, Lawrence SM, Hutchinson DT, Horch KW (2004) Residual function in peripheral nerve stumps of amputees: implications for neural control of artificial limbs. J Hand Surg 29:605–615; discussion 616–618

    Article  Google Scholar 

  • Micera S et al (2008) On the use of longitudinal intrafascicular peripheral interfaces for the control of cybernetic hand prostheses in amputees. IEEE Trans Neural Syst Rehab Eng Publ IEEE Eng Med Biol Soc 16:453–472

    Article  Google Scholar 

  • Micera S et al (2010) Decoding information from neural signals recorded using intraneural electrodes: toward the development of a neurocontrolled hand prosthesis. Proc IEEE 98:407–417

    Article  Google Scholar 

  • Tang Y, Wodlinger B, Durand DM (2012) Extraction of control signals from a mixture of source activity in the peripheral nerve. In: Conference proceedings: annual international conference of the IEEE engineering in medicine and biology society. IEEE Engineering in Medicine and Biology Society. Conference, pp 2973–2976

    Google Scholar 

  • Tikhonov AN, Arsenin VY (1977) Solution of Ill-posed problems. Winston & Sons, Washington, DC

    Google Scholar 

  • Wodlinger B, Durand DM (2009) Localization and recovery of peripheral neural sources with beamforming algorithms. IEEE Trans Neural Syst Rehab Eng Publ IEEE Eng Med Biol Soc 17:461–468

    Article  Google Scholar 

  • Wodlinger B, Durand DM (2011) Selective recovery of fascicular activity in peripheral nerves. J Neural Eng 8:056005

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Zariffa J, Nagai MK, Daskalakis ZJ, Popovic MR (2009) Influence of the number and location of recording contacts on the selectivity of a nerve cuff electrode. IEEE Trans Neural Syst Rehab Eng Publ IEEE Eng Med Biol Soc 17:420–427

    Article  Google Scholar 

  • Zariffa J, Popovic MR (2009) Localization of active pathways in peripheral nerves: a simulation study. IEEE Trans Neural Syst Rehab Eng Publ IEEE Eng Med Biol Soc 17:53–62

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Brian Wodlinger .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

Cite this entry

Wodlinger, B. (2014). Peripheral Nerve Signal Processing, Source Localization. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_217-1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_217-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

Publish with us

Policies and ethics