Detecting stroke types using bioimpedance measurements
Official title: Sensing intracranial bioimpedance through anatomic windows for classifying stroke type
Funded at Dartmouth College · NIH-10667998 · Data updated 2026-11-12
This study is testing a new way to quickly figure out what kind of stroke someone is having by using a special monitor that checks brain signals, which could help doctors treat patients faster and improve their recovery.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Dartmouth College NIH-funded |
| Lab location | 1 site (Hanover, United States) |
| Project start | August 15, 2023 |
| Project end | July 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $449,122 |
| NIH project number | 1R21EB033598-01A1 |
| Project ID | NIH-10667998 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who are experiencing symptoms of a stroke or are at high risk for stroke.
✕Less likely to help
Patients who have already received treatment for a stroke or those with conditions unrelated to stroke may not benefit from this research.
What this research studies
This research investigates a new method for identifying the type of stroke a patient is experiencing by measuring bioimpedance through specific anatomical windows in the brain. The approach aims to provide real-time monitoring of stroke conditions, which is crucial for timely and appropriate treatment. By developing a bedside monitor that can detect changes in intracranial conditions, the research seeks to reduce the time between stroke onset and intervention, potentially improving patient outcomes. The methodology involves advanced algorithms and monitoring techniques to classify strokes accurately and quickly.
Why it matters
Potential benefit: If successful, this research could lead to faster and more accurate stroke diagnosis, significantly improving treatment outcomes and reducing long-term disability.
How similar studies have gone: While the approach of using bioimpedance for stroke classification is innovative, similar monitoring techniques have shown promise in other medical applications, indicating potential for success in this area.
Where this research is happening
-
Dartmouth College
Hanover, United States Active
Researchers
- Principal investigator: Halter, Ryan Joseph — Dartmouth College
- Study coordinator: Halter, Ryan Joseph
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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.