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KT DRRP?is a grant supported research project involving a cooperative of research scientists and researchers joined for the advancement of science.

A multidisciplinary group of researchers will adapt, implement and evaluate a state-of-the-art intervention to promote sleep for stroke patients undergoing acute rehabilitation.

View the overview of the projects associated with this RRTC: Home and Community-Based Services.

The purpose of this research is to determine the effects of gait training with the Samsung
GEMS-H device on walking, balance, nervous system activity, and quality of life in individuals with sub-acute and chronic stroke.

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.

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.

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

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.

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.

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.

We expect that a smart, wearable airbag system that can accurately predict falls and quickly inflate will reduce hip fractures in people with Parkinson's.

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