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Article
The Arm Motion (AMD) Detection Test
2014 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  • Maria C. Bengston, Marquette University
  • Leigh A. Mrotek, University of Wisconsin - Oshkosh
  • Tina M. Stoeckmann, Marquette University
  • Claude Ghez, Columbia University
  • Robert A. Scheidt, Marquette University
Document Type
Conference Proceeding
Language
eng
Format of Original
4 p.
Publication Date
1-1-2014
Publisher
Institute of Electrical and Electronics Engineers
Original Item ID
doi: 10.1109/EMBC.2014.6944834
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).

Comments

Accepted version. Published as part of the proceedings of the conference, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014: 5349-5352. DOI. © 2014 Institute of Electrical and Electronics Engineers (IEEE). Used with permission.

Citation Information
Maria C. Bengston, Leigh A. Mrotek, Tina M. Stoeckmann, Claude Ghez, et al.. "The Arm Motion (AMD) Detection Test" 2014 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2014) ISSN: 1557-170X
Available at: http://works.bepress.com/robert_scheidt/72/