• DocumentCode
    140865
  • Title

    Quantitative assessment of Post-Concussion Syndrome following mild Traumatic Brain Injury using robotic technology

  • Author

    Subbian, Vignesh ; Meunier, Jason M. ; Korfhagen, Joseph J. ; Ratcliff, Jonathan J. ; Shaw, George J. ; Beyette, Fred R.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Syst., Univ. of Cincinnati, Cincinnati, OH, USA
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    5353
  • Lastpage
    5356
  • Abstract
    Post-Concussion Syndrome (PCS) is a common sequelae of mild Traumatic Brain Injury (mTBI). Currently, there is no reliable test to determine which patients will develop PCS following an mTBI. As a result, clinicians are challenged to identify patients at high risk for subsequent PCS. Hence, there is a need to develop an objective test that can guide clinical risk stratification and predict the likelihood of PCS at the initial point of care in an Emergency Department (ED). This paper presents the results of robotic-assisted neurologic testing completed on mTBI patients in the ED and its ability to predict PCS at 3 weeks post-injury. Preliminary results show that abnormal proprioception, as measured using robotic testing is associated with higher risk of developing PCS following mTBI. In this pilot study, proprioceptive measures obtained through robotic testing had a 77% specificity (95CI: 46%-94%) and a 64% sensitivity (95CI: 41%-82%).
  • Keywords
    biomedical measurement; brain; injuries; medical disorders; medical robotics; neurophysiology; mild traumatic brain injury; post-concussion syndrome assessment; proprioceptive measures; robotic-assisted neurologic testing; time 3 week; Brain injuries; Educational institutions; Position measurement; Robot sensing systems; Testing;
  • 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.2014.6944835
  • Filename
    6944835