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. 2014:2014:5353-6.
doi: 10.1109/EMBC.2014.6944835.

Quantitative assessment of post-concussion syndrome following mild traumatic brain injury using robotic technology

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

Quantitative assessment of post-concussion syndrome following mild traumatic brain injury using robotic technology

Vignesh Subbian et al. Annu Int Conf IEEE Eng Med Biol Soc. 2014.

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%).

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Figures

Figure 1
Figure 1
KINARM End-Point Robotic Device
Figure 2
Figure 2
Arm Position-Matching Task (the green line on the right connects the mean positions of the passive hand moved by the robot and the solid blue line on the left represents the mean positions of the active hand moved by the subject)
Figure 3
Figure 3
Flow of Study Participants
Figure 4
Figure 4
Proprioceptive Measures of Subjects with and without PCS
See this image and copyright information in PMC

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