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
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