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![Stroke patient](/sites/default/files/styles/search_result_160x90_/public/2024-01/science%20of%20ability-9.png?itok=5bUtubEc)
What if you couldn’t recognize whether someone was happy or sad?
Dr. Ashaie and his team are using eye-tracking technology to study how stroke survivors identify emotions in words, faces and gestures.
Blog
![Satellite image of Chicago](/sites/default/files/styles/search_result_160x90_/public/2016-12/Chicago_sat_0.png?itok=M7kI7Td-)
COMPLETE: Monitoring Community Mobility after Stroke using Smartphones
Phones are a highly functional wearable sensor. This project looks at data gathered from the phone while those who have survived stroke carry a phone daily.
Research Project
![X-Glove Demo](/sites/default/files/styles/search_result_160x90_/public/2017-02/XGlove%20Demo_0.jpg?itok=RcyxPFNt)
Altering Activation Patterns in the Distal Upper Extremity After Stroke
This study evaluates a rehab approach for stroke survivors where the combination of drug therapy & AMP is used to encourage voluntary muscle control & strength.
Research Project
![Heather and her family after stroke recovery](/sites/default/files/styles/search_result_160x90_/public/2017-01/251_IMG_9939.jpg?itok=cmXswwqZ)
New Mom Recovers from Stroke After Birth of First Baby
Heather experienced every new mother's nightmare: a sudden stroke after birth. After visiting RIC, and her family's support, she now keeps up with her son.
Patient Story
![tangerine abstract](/sites/default/files/styles/search_result_160x90_/public/field_image/2020-12/Tangerine.abstract.header_0.png?itok=Ytjg_BRK)
Looking Glass: Bimanual Balanced Reaching With Visual Biofeedback
In the current protocol, individuals with chronic stroke participate in 9 treatment sessions using the LookingGlass virtual reality system. Participants will be asked to complete evaluations before treatment, after treatment, and 8 weeks following up treatment.
Age Range
18 and older
Clinical Trial
![Limit-push version of error augmentation](/sites/default/files/styles/search_result_160x90_/public/2020-08/Untitled-1_0.png?itok=McdunpKu)
Error-enhanced Learning & Recovery in 2 & 3 Dimensions
a NIH funded grant (James Patton, PI) investigating differences in outcomes using models that describe how a person responds to error during practice, so we can prescribe the best therapeutic training.
Research Project
![STARS figure on Sensors](/sites/default/files/styles/search_result_160x90_/public/2020-09/STARS%20Figure.jpg?itok=2UKQEuG8)
COMPLETE: Sensor Technologies Applied to Rehabilitation in Stroke
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.
Research Project
![SIESTA Sleep Study](/sites/default/files/styles/search_result_160x90_/public/2020-09/SIESTA.png?itok=_3xs5KS_)
Sleep of Inpatients: Empower Staff to Act for Acute Stroke Rehabilitation (SIESTA)
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.
Research Project
![Generic Background Image](/sites/default/files/styles/search_result_160x90_/public/2016-11/blue.png?itok=JI3O1Ang)
COMPLETE: Safety and Efficacy of Samsung GEMS-H Device Training in Sub-Acute and Chronic Stroke
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.
GEMS-H device on walking, balance, nervous system activity, and quality of life in individuals with sub-acute and chronic stroke.
Research Project
![Stroke Throat Sensor](/sites/default/files/styles/search_result_160x90_/public/2020-10/throatsensor.jpg?itok=3vO_nhKe)
COMPLETE: Wearable Sensor Platform to Monitor Stroke Recovery
This project proposes continuous monitoring, quantification, and interpretation of recovery during inpatient treatment of stroke using non-invasive, portable, real-time body-worn sensors.
Research Project
![yellow background with rectangles](/sites/default/files/styles/search_result_160x90_/public/2022-06/clinical%20trial%20yellow.png?itok=L8F6uLvH)
Improving Arm Movement After Stroke Using Wearable Device
The Slutzky Neuroprosthetics Lab Team is evaluating a new rehab therapy using wearable devices and a video game interface to improve arm movement after stroke.
Research Project
![hand control data image](/sites/default/files/styles/search_result_160x90_/public/2020-03/BMI.Hand_.BrainControl.SNLab_.png?itok=eEhwHpx8)
Brain-Machine Interfacing for Hand and Arm Movement
The ultimate goal of this project is to restore hand and arm function to people with paralysis from neurological disorders. Brain machine interfaces - BMIs, which decode electrical signals recorded from the brain, offer one way to bypass the area causing paralysis and intuitively reanimate paralyzed muscles via electrical stimulation.
Research Project