• DocumentCode
    3679122
  • Title

    In-silico Phantom Axon: Emulation of an Action Potential Propagating Along Artificial Nerve Fiber

  • Author

    Olivier Rossel;Fabien Soulier;Serge Bernard;David Guiraud; Cathébras

  • Author_Institution
    INRIA/DEMAR, LIRMM, Montpellier, France
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    228
  • Lastpage
    230
  • Abstract
    This paper presents an original method to emulate a single fiber action potential in a quasi-infinite conductive volume, suitable for reproducible testing of bio-potential recording systems. The model is accurate for reproducing the biopotential even for a small electrode to fiber radial distances. Established current activities of axon is used and programmed in the developed FPGA-based instrument, the model takes into consideration action potential propagation properties, electrode to fiber radial distances, medium conductivity. This paper investigates differences in the action potential amplitude for two longitudinal probe positions one in front of a node of Ranvier (NOR) and one between two NOR, for a large range of radial distances. Results are reported and compared with simulation with a correlation level of 97:6%. The model is realistic enough to help the design of new recording systems.
  • Keywords
    "Electrodes","Probes","Phantoms","Electric potential","Generators","Current measurement"
  • Publisher
    ieee
  • Conference_Titel
    VLSI (ISVLSI), 2015 IEEE Computer Society Annual Symposium on
  • Type

    conf

  • DOI
    10.1109/ISVLSI.2015.123
  • Filename
    7309571