Improving arm function recovery in stroke patients using advanced technology.
Official title: Multimodal Guidance towards Precision Rehabilitation to Improve Upper Extremity Function in Stroke Patients
Funded at Veterans Health Administration · NIH-11262788 · Data updated 2026-11-12
This study is looking to improve recovery for stroke patients by using smart technology to better understand how they move and feel right after a stroke, so that their rehabilitation can be personalized and more effective.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Veterans Health Administration NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project start | December 1, 2022 |
| Project end | November 30, 2025 |
| Funding year | 2025 |
| NIH project number | 5I21RX004076-03 |
| Project ID | NIH-11262788 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are veterans who have experienced upper extremity impairments due to a stroke.
✕Less likely to help
Patients who have not experienced a stroke or have other unrelated conditions may not benefit from this research.
What this research studies
This research focuses on enhancing rehabilitation for stroke patients by utilizing biomarkers and machine learning to better predict recovery of upper extremity function. It aims to provide accurate prognoses and tailor rehabilitation therapies based on individual patient data, including immediate post-stroke movement and psychological responses. By analyzing data from wearable technologies, the study seeks to overcome current limitations in rehabilitation decision-making and improve long-term outcomes for stroke survivors. The goal is to ensure that patients receive timely and effective rehabilitation interventions.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective rehabilitation strategies for stroke patients, improving their recovery outcomes.
How similar studies have gone: Similar research has shown promise in utilizing machine learning and biomarkers for rehabilitation, indicating potential for success in this approach.
Where this research is happening
-
Veterans Health Administration
Pittsburgh, United States Active
Researchers
- Principal investigator: Wittenberg, George F. — Veterans Health Administration
- Study coordinator: Wittenberg, George F.
Related research
Other NIH-funded projects on the same topics.
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ARISE-CARE: Using AI to Improve Rehabilitation for Stroke Patients
A stroke rehabilitation project uses AI to help therapists deliver higher-quality care and make documentation easier for clinicians, with patients who have had a stroke in mind.
-
Non-Invasive Brain Stimulation to Improve Movement After Stroke
A new non-invasive technique called kilohertz Transcranial Magnetic Perturbation (kTMP) is being tested to improve arm movement in people who have chronic stroke.
-
Abbreviated heart MRI to quickly find stroke causes
A short MRI-based test is being developed to quickly and affordably identify the cause of an acute ischemic stroke in patients.
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New AI approach to detect and predict atrial fibrillation after stroke
A patient-friendly AI-based method is being developed to spot atrial fibrillation early in people who have had a stroke, using wearable heart-rate signals.
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Using bionic exoskeletons to help stroke patients regain upper limb function
This study is testing new bionic devices that use muscle signals to help stroke patients regain movement and control of their arms and hands, making recovery easier and more effective.
-
MIND Diet for Dementia Prevention After Stroke
This project explores if a special diet called the MIND diet can help prevent memory and thinking problems in people who have recently had an ischemic stroke.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.