• DocumentCode
    636280
  • Title

    Robot-assisted upper limb rehabilitation in chronic stroke patients

  • Author

    Mazzoleni, S. ; Crecchi, R. ; Posteraro, F. ; Carrozza, Maria

  • Author_Institution
    Scuola Superiore Sant´Anna, BioRobotics Inst., Pontedera, Italy
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    886
  • Lastpage
    889
  • Abstract
    The goal of this study is to evaluate the effects of upper limb robot-assisted treatment in chronic post-stroke patients using clinical outcome measures and kinematic parameters. Thirty-two chronic stroke patients participated in the study. Fugl-Meyer (FM) Assessment scale and Motricity Index (MI) were used for clinical assessment, and a set of kinematic parameters was computed. A significant decrease in motor impairment after the robot-assisted treatment (FM p<;0.001 and MI p<;0.001) was found. Movement mean velocity (p<;0.001) and accuracy (p<;0.05) increased. Robotic treatment is effective to reduce motor impairment in chronic stroke patients. The exclusive use of clinical scales do not provide an exhaustive evaluation of effectiveness of treatment and our study suggests that kinematic parameters should be computed as well.
  • Keywords
    medical disorders; medical robotics; mobile robots; patient rehabilitation; patient treatment; robot kinematics; Fugl-Meyer Assessment scale; Motricity Index; chronic post-stroke patient; clinical assessment; clinical outcome measures; kinematic parameters; motor impairment; movement mean velocity; robot-assisted upper limb rehabilitation; upper limb robot-assisted treatment; Elbow; Frequency modulation; Kinematics; Medical treatment; Robot kinematics; Training; Adult; Aged; Aged, 80 and over; Chronic Disease; Female; Humans; Male; Middle Aged; Robotics; Stroke; Upper Extremity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6609643
  • Filename
    6609643