• DocumentCode
    718309
  • Title

    Exploring the limit of ENG spatio-temporal filtering for velocity-selectivity

  • Author

    Abdallah, Mariam ; Rossel, Olivier ; Bernard, Serge ; Soulier, Fabien ; Cathebras, Guy

  • Author_Institution
    LIRMM, INRIA, Montpellier, France
  • fYear
    2015
  • fDate
    22-24 April 2015
  • Firstpage
    585
  • Lastpage
    588
  • Abstract
    The task of distinguishing nerve type for the activity acquired using the multi-electrode cuff presents a big interest in the possible applications of prosthesis control or functional electrical stimulation. In this paper, a method to evaluate the maximum expected performances of filters using two-dimensional spectral analysis is presented and tested on simulated extracellular potentials. These later are the result of a realistic model of an acquisition system developed from biophysiologic parameters and electrode/preamplifier model. The method is thus appropriate for characterizing filter based on velocity selective recording (VSR) method.
  • Keywords
    bioelectric potentials; biomedical electrodes; filtering theory; medical signal detection; medical signal processing; neurophysiology; spatiotemporal phenomena; spectral analysis; ENG spatiotemporal filtering; acquisition system; biophysiologic parameters; electrode-preamplifier model; electroneurogramm; extracellular potentials; functional electrical stimulation; multielectrode cuff; prosthesis control; two-dimensional spectral analysis; velocity selective recording method; Biological system modeling; Computational modeling; Electric potential; Electrodes; Extracellular; Nerve fibers; Spectral analysis; 2D-spectral analysis; Electroneurography (ENG); multipolar cuff electrode; nerve signal modelling; spatiotemporal filtering; velocity selective recording(VSR);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
  • Conference_Location
    Montpellier
  • Type

    conf

  • DOI
    10.1109/NER.2015.7146690
  • Filename
    7146690