Sarah Li
A Novel Kinematics-based Approach to Inform Vestibular Rehabilitation
Sarah Li
Mentor: Dr. Kathleen Cullen
Supervisor: Omid Zobeiri
Department of Biomedical Engineering, Johns Hopkins University
Nearly 100 million American adults have experienced vestibular dysfunction, which
causes patients to experience position, balance, and movement issues. The current standard
treatment for vestibular disorders is traditional vestibular rehabilitation therapy (VRT).
However, traditional VRT relies on limited observations in the clinic. Accordingly, there exists a
significant need for objective quantification of patient performance of VRT exercises. This study
seeks to evaluate the value of kinematics-based analysis in VRT to improve the quality,
management, and delivery of VRT. Shimmer3 inertial sensors were used to record kinematic
data of vestibular schwannoma surgery patients and age-sex matched healthy controls during
VRT exercises. Patients were tested pre-operatively and during six postoperative clinic visits.
Data from gaze stabilization exercises were compared between patients and controls. We found
that one week post-surgery, patients moved their heads significantly slower than healthy controls
did during execution of gaze exercises. Following the second postoperative assessment, patients
moved their heads quicker over time at a velocity similar to the healthy controls. One week
following vestibular schwannoma surgery, patient performance of gaze exercises was poor in
comparison to healthy controls, but following the second week after surgery patient performance
improved. A mobile app was also developed to allow users to access objective feedback about
performance of VRT exercises. The app offered feedback to users based on how much
kinematics-based indicators deviated from a specific value. These findings allow for future
leveraging of technology to better personalize VRT programs to fit patient needs and ultimately
optimize treatment outcomes for vestibular patients.
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