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Comparison of IMU Sensors to Motion Capture for Measuring Trunk Motion and Velocity
Rochester, MN
The purpose of this study is to validate trunk kinematic and velocity measurements calculated using a wearable inertial measurement unit (IMU) while the subject experiences controlled, postural disturbances on a treadmill.
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Analyzing Patient Gait in Aging and Neurological Disease
Rochester, MN
The purpose of this study is to collect gait data on patients with neurological disease as well as normal aging individuals. The gait data will be acquired using a camera and a body-worn sensor (APDM Opal). This sensor is the size of a wristwatch and can be worn using custom Velcro bands. The gait data will be assessed using machine learning algorithms to detect meaningful patterns and quantifiable variables.
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Real-Time Feedback Training to Improve Gait and Posture in People with Parkinson’s Disease
Scottsdale/Phoenix, AZ
This study will investigate the effects of Real-Time Feedback Training and treadmill training to improve gait posture in subjects with Parkinson’s Disease.
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A Study to Evaluate Quantitative Phenotypes of Movement Disorders
Jacksonville, FL
The purpose of this study is to determine if adaptive rhythmic auditory stimulation (ARAS) is a safe means of improving gait; i.e., fewer falls, abrupt accelerations/decelerations in patients with movement disorders. Furthermore, we aim to provide patients with a safe environment in which they can safely navigate through an enjoyable experience (guided art tour) that provides exercise, social engagement, and exposure to art.
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A Study of Factors That Predispose, Promote, and Perpetuate Post-Traumatic Dizziness
Rochester, MN
The purpose of this study is to investigate whether recent, groundbreaking discoveries about key pathophysiologic processes that drive chronic dizziness in patients without traumatic brain injury (TBI9,10) are applicable to patients with post-mTBI vestibular disability. We expect the results of this project to have practical clinical and research applications, providing novel data for two future steps: