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Differentiation Of Patients With Balance Insufficiency (Vestibular Hypofunction) Versus Normal Subjects Using A Low-Cost Small Wireless Wearable Gait Sensor, Tam Q. Nguyen, Jonathan H. Young, Amanda Rodriquez, Steven Zupancic, Donald Y. C. Lie

Department of Special Education and Communication Disorders: Faculty Publications

Balance disorders present a significant healthcare burden due to the potential for hospitalization or complications for the patient, especially among the elderly population when considering intangible losses such as quality of life, morbidities, and mortalities. This work is a continuation of our earlier works where we now examine feature extraction methodology on Dynamic Gait Index (DGI) tests and machine learning classifiers to differentiate patients with balance problems versus normal subjects on an expanded cohort of 60 patients. All data was obtained using our custom designed low-cost wireless gait analysis sensor (WGAS) containing a basic inertial measurement unit (IMU) worn by …