• DocumentCode
    1448247
  • Title

    Interpretation of Muscle Spindle Afferent Nerve Response to Passive Muscle Stretch Recorded With Thin-Film Longitudinal Intrafascicular Electrodes

  • Author

    Djilas, Milan ; Azevedo-Coste, Christine ; Guiraud, David ; Yoshida, Ken

  • Author_Institution
    DEMAR INRIA/LIRMM, French Nat. Inst. for Res. in Comput. Sci. & Control, Montpellier, France
  • Volume
    17
  • Issue
    5
  • fYear
    2009
  • Firstpage
    445
  • Lastpage
    453
  • Abstract
    In this study, we explored the feasibility of estimating muscle length in passive conditions by interpreting nerve responses from muscle spindle afferents recorded with thin-film longitudinal intrafascicular electrodes. Afferent muscle spindle response to passive stretch was recorded in ten acute rabbit experiments. A newly proposed first-order model of muscle spindle response to passive sinusoidal muscle stretch manages to capture the relationship between afferent neural firing rate and muscle length. We demonstrate that the model can be used to track random motion trajectories with bandwidth from 0.1 to 1 Hz over a range of 4 mm with a muscle length estimation error of 0.3 mm (1.4deg of joint angle). When estimation is performed using four-channel ENG there is a 50% reduction in estimate variation, compared to using single-channel recordings.
  • Keywords
    bioelectric phenomena; biomedical electrodes; biomedical measurement; muscle; neurophysiology; bandwidth 0.1 Hz to 1 Hz; muscle length; muscle spindle afferent nerve response; neural firing rate; passive muscle stretch; passive sinusoidal muscle stretch; rabbit experiments; random motion trajectory; single channel recordings; thin-film longitudinal intrafascicular electrodes; Closed-loop functional electrical stimulation; longitudinal intrafascicular electrode; muscle spindle afferents; natural sensory feedback; Action Potentials; Afferent Pathways; Animals; Electrodes, Implanted; Muscle Spindles; Muscle, Skeletal; Physical Stimulation; Rabbits;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2009.2032286
  • Filename
    5256297