• DocumentCode
    2721962
  • Title

    Analysis of the rat nerve activity with an autoregressive parametric model

  • Author

    Farfán, F.D. ; Albarracín, A.L. ; Felice, C.J. ; Decima, E.E.

  • Author_Institution
    Dept. de Bioingenieria, FACET-INSIBIO, Tucuman, Argentina
  • Volume
    3
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    2063
  • Abstract
    Studies of vibrissal tactile discrimination show that rats can use their vibrissae to distinguish objects differing only in surface texture. Here we propose to use an autoregressive (AR) parametric model to analyze the electrical nerve discharge when vibrissae are sweeping surfaces differing only in roughness. The results were compared with the control situation: vibrissae sweeping the air. The AR model order was evaluated in both theoretical and practical ways using the Akaike information criterion (AIC) and calculating the delta value from the experimental data. The value obtained was five and the parameters a1 and a2 show more clearly the differences between control and surface measurements. The results show that the AR model is a good tool to use in this procedure.
  • Keywords
    autoregressive processes; bioelectric phenomena; neuromuscular stimulation; physiological models; Akaike information criterion; autoregressive parametric model; electrical nerve discharge; rat nerve activity; surface texture; vibrissal tactile discrimination; Brain modeling; Electroencephalography; Hair; Mathematical model; Parametric statistics; Rats; Rough surfaces; Surface discharges; Surface roughness; Surface texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1280142
  • Filename
    1280142