Journal of Rehabilitation Research & Development (JRRD)

Quick Links

  • Health Programs
  • Protect your health
  • Learn more: A-Z Health
Veterans Crisis Line Badge
 

Volume 53 Number 6, 2016
   Pages 1007 — 1022

Abstract — Quantitative assessment of hand motor function in cervical spinal disorder patients using target tracking tests

Sunghoon I. Lee, PhD;1* Alex Huang, BS;2 Bobak Mortazavi, PhD;1 Charles Li, BS;1 Haydn A. Hoffman, BS;2 Jordan Garst, BS;2 Derek S. Lu, BS;2 Ruth Getachew, BS;2 Marie Espinal;2 Mehrdad Razaghy, BS;2 Nima Ghalehsari, BS;2 Brian H. Paak, BS;2 Amir A. Ghavam;2 Marwa Afridi;2 Arsha Ostowari;2 Hassan Ghasemzadeh, PhD;1 Daniel C. Lu, MD, PhD;2–3 Majid Sarrafzadeh, PhD1

1Computer Science Department, University of California Los Angeles (UCLA), Los Angeles, CA; Departments of 2Neurosurgery and 3Orthopedic Surgery, UCLA, Los Angeles, CA

Abstract — Cervical spondylotic myelopathy (CSM) is a chronic spinal disorder in the neck region. Its prevalence is growing rapidly in developed nations, creating a need for an objective assessment tool. This article introduces a system for quantifying hand motor function using a handgrip device and target tracking test. In those with CSM, hand motor impairment often interferes with essential daily activities. The analytic method applied machine learning techniques to investigate the efficacy of the system in (1) detecting the presence of impairments in hand motor function, (2) estimating the perceived motor deficits of patients with CSM using the Oswestry Disability Index (ODI), and (3) detecting changes in physical condition after surgery, all of which were performed while ensuring test-retest reliability. The results based on a pilot data set collected from 30 patients with CSM and 30 nondisabled control subjects produced a c-statistic of 0.89 for the detection of impairments, Pearson r of 0.76 with p < 0.001 for the estimation of ODI, and a c-statistic of 0.82 for responsiveness. These results validate the use of the presented system as a means to provide objective and accurate assessment of hand motor function impairment and surgical outcomes.

Key words: cervical spondylotic myelopathy, classifier, hand impairment, hand movement, machine learning, motor deficit, patient monitoring, quantification, spinal cord disorder, tracking test.


View HTML ?? View PDF ?? Contents Vol. 53, No. 6
This article and any supplementary material should be cited as follows:
Lee SI, Huang A, Mortazavi B, Li C, Hoffman HA, Garst J, Lu DS, Getachew R, Espinal M, Razaghy M, Ghalehsari N, Paak BH, Ghavam AA, Afridi M, Ostowari A, Ghasemzadeh H, Lu DC, Sarrafzadeh M. Quantitative assessment of hand motor function in cervical spinal disorder patients using target tracking tests. J Rehabil Res Dev. 2016;53(6):1007–22.
http://dx.doi.org/10.1682/JRRD.2014.12.0319
iThenticateCrossref

Go to TOP

VHA

Last Reviewed or Updated Tuesday, February 21, 2017 10:54 AM

Valid HTML 4.01 Transitional