• DocumentCode
    2747008
  • Title

    Learning-based methods for the analysis of intralimb-coordination and adaptation of locomotor patterns in cerebellar patients

  • Author

    Ilg, W. ; Rörig, Rebecca ; Thier, Peter ; Giese, Martin A.

  • Author_Institution
    Hertie Inst. of Clinical Brain Res., Tubingen
  • fYear
    2007
  • fDate
    13-15 June 2007
  • Firstpage
    1090
  • Lastpage
    1095
  • Abstract
    In this paper, we present learning-based methods for the analysis of the spatio-temporal characteristics of multidimensional movement trajectories. We show the application of these methods in two studies analyzing the influence of the cerebellum on intra-limb coordination and adaptation of gait for cerebellar patients.
  • Keywords
    gait analysis; learning (artificial intelligence); medical computing; neurophysiology; patient rehabilitation; cerebellar patients; gait adaptation; intralimb coordination analysis; learning based methods; locomotor pattern adaptation; spatiotemporal multidimensional movement trajectory characteristics; Brain modeling; Degenerative diseases; Learning systems; Legged locomotion; Manufacturing automation; Nervous system; Pattern analysis; Rehabilitation robotics; Testing; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Rehabilitation Robotics, 2007. ICORR 2007. IEEE 10th International Conference on
  • Conference_Location
    Noordwijk
  • Print_ISBN
    978-1-4244-1319-5
  • Electronic_ISBN
    978-1-4244-1320-1
  • Type

    conf

  • DOI
    10.1109/ICORR.2007.4428559
  • Filename
    4428559