• DocumentCode
    2629745
  • Title

    Computational aspects of MN activity estimation: A case study with post-stroke subjects

  • Author

    Coscia, Martina ; Monaco, Vito ; Capogrosso, Marco ; Chisari, Carmelo ; Micera, Silvestro

  • Author_Institution
    BioRobotics Inst., Scuola Superiore Sant´´Anna, Pisa, Italy
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Spinal circuits play an important role in the generation of rhythmic motor activity, intermediating between descending signals and peripheral sensory information. The study of these circuits can provide a better understanding of the control mechanisms during the execution of cyclic motor tasks in healthy subjects or in patients with motor deficits due to a neurological disease. This work shows preliminary results regarding the estimation of spinal cord activity of post-stroke subjects obtained from the EMG signals by improving the computational model. This new model allows a better quantitative evaluation of motor performance in clinical contexts.
  • Keywords
    diseases; electromyography; neurophysiology; EMG signal; MN activity estimation; cyclic motor tasks; neurological disease; peripheral sensory information; post-stroke subjects; rhythmic motor activity; spinal circuits; Electromyography; Humans; Legged locomotion; Manganese; Motor drives; Muscles; Spinal cord; computation and evaluation of spinal cord activity; locomotion; motor control; stroke; Aged; Electromyography; Female; Humans; Male; Middle Aged; Motor Activity; Spinal Cord; Stroke;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Rehabilitation Robotics (ICORR), 2011 IEEE International Conference on
  • Conference_Location
    Zurich
  • ISSN
    1945-7898
  • Print_ISBN
    978-1-4244-9863-5
  • Electronic_ISBN
    1945-7898
  • Type

    conf

  • DOI
    10.1109/ICORR.2011.5975405
  • Filename
    5975405