• DocumentCode
    1017763
  • Title

    State-Space Decoding of Goal-Directed Movements

  • Author

    Kulkarni, J.E. ; Paninski, L.

  • Author_Institution
    Columbia Univ., New York
  • Volume
    25
  • Issue
    1
  • fYear
    2008
  • fDate
    6/30/1905 12:00:00 AM
  • Firstpage
    78
  • Lastpage
    86
  • Abstract
    This article reviews an earlier recursive approach for computing such reach trajectories and presents a new nonrecursive approach, with computations that may be performed analytically for the most part, leading to a significant gain in the accuracy of the inferred trajectory while imposing a very small computational burden. Extensions of the approach are discussed including the incorporation of multiple target observations at different times, and multiple possible target locations.
  • Keywords
    biomechanics; decoding; medical signal processing; neurophysiology; physiological models; target tracking; goal-directed movements; state-space decoding; Bayesian methods; Computational modeling; Decoding; Gaussian noise; Nonlinear filters; Performance analysis; Predictive models; Prosthetics; Signal processing algorithms; Trajectory;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2008.4408444
  • Filename
    4408444