This project will test whether robotic balance training paired with transcutaneous spinal stimulation will be effective in improving dynamic balance and locomotor function in humans with SCI.

Participate in a novel research study at the Shirley Ryan Abilitylab to improve the function of your muscles after a spinal cord injury.

This study will use closed-loop control of tendon vibration to implement clinically meaningful management of muscle spasms, and to understand how spinal circuits responsible for spasm generation change in response to vibration

Our research program focuses on the pivotal role of clinicians and therapists in implementing routine rehabilitation care, and on enhancing their capacity to provide evidence-based, individualized, and precise therapy.

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.