• DocumentCode
    718349
  • Title

    An investigation into the reliability of upper-limb robotic exoskeleton measurements for clinical evaluation in neurorehabilitation

  • Author

    Fong, Justin ; Crocher, Vincent ; Oetomo, Denny ; Ying Tan

  • Author_Institution
    Sch. of Eng., Univ. of Melbourne, Parkville, VIC, Australia
  • fYear
    2015
  • fDate
    22-24 April 2015
  • Firstpage
    795
  • Lastpage
    798
  • Abstract
    Robotic exoskeletons are increasingly being used for neurorehabilitation, due to a number of perceived advantages. Once such advantage is the potential to use the large amounts of previously unavailable measurements to provide continuous assessment of the patient. This study investigates the validity of such measurements through an experimental protocol. Reaching movements within and outside an upper-arm rehabilitation exoskeleton (ArmeoPower) of 10 healthy subjects are compared using five commonly-used kinematic metrics (Peak Speed, Time to Peak Speed, Curvature, Smoothness, Accuracy). The study finds that (1) the robotic exoskeleton significantly affects the reaching movements of healthy subjects, (2) the measurements of the exoskeleton accurately represent the movements of the wrist, and (3) evolution of the in-exoskeleton movements over multiple sessions is indicative of changes in movements outside the robot, even though differences remain - suggesting that evolution of this data may be used to monitor patient progress.
  • Keywords
    biomedical measurement; gait analysis; kinematics; medical robotics; neurophysiology; patient monitoring; patient rehabilitation; clinical evaluation; inexoskeleton movements; neurorehabilitation; patient progress monitoring; upper-arm rehabilitation exoskeleton; upper-limb robotic exoskeleton measurements; wrist movements; Accuracy; Exoskeletons; Magnetic sensors; Measurement; Robot kinematics; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
  • Conference_Location
    Montpellier
  • Type

    conf

  • DOI
    10.1109/NER.2015.7146743
  • Filename
    7146743