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

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.

We combine sensors with fun, interactive computer games in order to strengthen arm muscles after stroke or SCI! Free program offered by the Perez Lab.

The purpose of the study was to examine the contribution of passive muscle stiffness and active spinal reflex mechanisms to clinical outcomes of spasticity after SCI.

This study investigates the intracortical inhibition in humans with cervical spinal cord injury. We particularly aim to understand the inhibitory mechanism for the control of upper arm muscles to further promote rehabilitation protocol.

This study will evaluate use of wearable sensors to gather information on COVID-19 like signs and symptoms.

Researchers and clinicians are invited to join our hands-on learning and mentoring program, IdeaLab.

Access benchmark data from a wide range of diagnostic conditions, as well as resources from the Rehabilitation Measures Database.

Expertise within C-STAR is organized into four Cores: Engineering, Clinical, Outcomes, and Implementation Science and Community Engagement.