• DocumentCode
    140863
  • Title

    The arm motion detection (AMD) test

  • Author

    Bengtson, Maria C. ; Mrotek, Leigh A. ; Stoeckmann, Tina ; Ghez, Claude ; Scheidt, Robert A.

  • Author_Institution
    Marquette Univ., Milwaukee, WI, USA
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    5349
  • Lastpage
    5352
  • Abstract
    Stroke can lead to sensory deficits that impair functional control of arm movements. Here we describe a simple test of arm motion detection (AMD) that provides an objective, quantitative measure of movement perception related proprioceptive capabilities in the arm. Seven stroke survivors and thirteen neurologically intact control subjects performed the AMD test. In a series of ten trials that took less than 15 minutes to complete, participants used a two-button user interface to adjust the magnitude of hand displacements produced by a horizontal planar robot until the motions were just perceptible (i.e. on the threshold of detection). The standard deviation of movement detection threshold was plotted against the mean and a normative range was determined from the data collected with control subjects. Within this normative space, subjects with and without intact proprioception could be discriminated on a ratio scale that is meaningful for ongoing studies of degraded motor function. Thus, the AMD test provides a relatively fast, objective and quantitative measure of upper extremity proprioception of limb movement (i.e. kinesthesia).
  • Keywords
    biomechanics; displacement control; mechanoception; medical disorders; medical robotics; neurophysiology; patient diagnosis; robot kinematics; user interfaces; AMD test; arm motion detection test; functional arm movement control; hand displacement magnitude adjustment; horizontal planar robot motion perception; kinesthesia; motor function degradion; movement detection threshold; movement perception related proprioceptive capability; neurologically intact control; objective proprioceptive capability measurement; proprioception discrimination; quantitative proprioceptive capability measurement; sensory deficits; stroke survivors; two-button user interface; upper extremity proprioception; Educational institutions; Joints; Nickel; Robot sensing systems; Shoulder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6944834
  • Filename
    6944834