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The purpose of this study is to learn how to incorporate digital health technology into the early intervention physical therapy clinic for people with Parkinson's disease.

The goal of the proposed study is to examine the neuromuscular mechanisms underlying the therapeutic effect of hippotherapy and determine whether repeated exposure to a pelvic perturbation force would be effective in improving trunk postural control and gait of children with cerebral palsy. This study is supported by NIH/NINDS, 1R01NS115487, Date of Project Period: 03/01/2020-02/28/2025

This research project is working on improving the interactions between robots and humans by learning from human paired physical interaction to apply to human like robotics.

This project studies precision neurotrauma medicine with patient-derived iPSC-neurons to determine patient specific factors affecting clinical outcomes

The purpose of this research project is to understand the neurophysiological mechanisms of peripheral electrical stimulation (PES) in modulating tremors, sometimes seen in Parkinson's disease.

The goal of this project is to develop an automated, precise, quantitative biobehavioral assay for detecting infants at risk, and then rigorously test an early-life intervention to promote typical motor movement and sensory development in those infants in a manner designed for uptake and dissemination.

We plan to use videos of people with Parkinson's disease (PD) doing different things to develop sophisticated computer programs that can detect specific movement patterns that are only seen in people with PD.

This project proposes continuous monitoring, quantification, and interpretation of recovery during inpatient treatment of stroke using non-invasive, portable, real-time body-worn sensors.

The study will evaluate the potential of the C-Brace from Ottobock to improve the functional mobility and quality of life in individuals with lower extremity impairments due to spinal cord injury when compared to traditional rehabilitation methods.

We will use videos of people with Parkinson's disease (PD) doing different things to develop sophisticated computer programs that can detect specific movement patterns that are only seen in people with PD. We will then see how well our computer programs can diagnose early PD, compared with medical and clinical professionals.