New methods to detect and predict atrial fibrillation in post-stroke patients
Official title: Novel Algorithm and Data Strategies to detect and Predict atrial fibrillation for post-stroke patients (NADSP)
Funded at Emory University · NIH-11041068 · Data updated 2026-11-12
This study is looking to make it easier to spot atrial fibrillation in people who have had a stroke by using smart technology that can read signals from wearable devices, helping to catch any heart issues early so that doctors can provide the right care and prevent future strokes.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Emory University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project start | March 10, 2023 |
| Project end | February 28, 2027 |
| Funding year | 2025 |
| Award (this year) | $593,465 |
| NIH project number | 5R01HL166233-03 |
| Project ID | NIH-11041068 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are adults over 21 years old who have experienced a stroke and may have undiagnosed atrial fibrillation.
✕Less likely to help
Patients who do not have a history of stroke or atrial fibrillation may not benefit from this research.
What this research studies
This research focuses on improving the detection of atrial fibrillation (AF) in patients who have experienced a stroke. It aims to develop a novel deep neural network that can analyze data from wearable devices to identify AF, even when the quality of the signals is not perfect. By using plethysmography (PPG), which measures blood volume changes, the study seeks to provide continuous and cost-effective monitoring of AF. This early detection is crucial for initiating preventive treatments that can reduce the risk of further strokes and other complications.
Why it matters
Potential benefit: If successful, this research could lead to earlier diagnosis and better management of atrial fibrillation, significantly reducing the risk of subsequent strokes in patients.
How similar studies have gone: Previous research has shown promise in using wearable technology for health monitoring, but this specific approach to AF detection is innovative and has not been extensively tested.
Where this research is happening
-
Emory University
Atlanta, United States Active
Researchers
- Principal investigator: Hu, Xiao — Emory University
- Study coordinator: Hu, Xiao
Related research
Other NIH-funded projects on the same topics.
-
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.
-
Understanding Blood Thinners for Older Stroke Patients with Atrial Fibrillation
This project helps doctors choose the best blood thinner for older patients who have had a stroke and also have an irregular heartbeat called atrial fibrillation.
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Atrial fibrillation, clots, and stroke: the heart’s JNK2 as a target
This NIH grant explores how a heart protein called JNK2 may drive atrial fibrillation, blood clots, and stroke, and whether it could serve as a biomarker and new treatment approach.
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DECIDE-AF: a shared decision tool in your health portal to help prevent strokes in atrial fibrillation
A patient-friendly tool in your electronic health record helps you and your doctor choose the right way to prevent strokes if you have atrial fibrillation.
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Advancing Shared Decision Making for Stroke Prevention in Atrial Fibrillation
Aims to combine data from three big trials to understand how decision aids help people with atrial fibrillation choose anticoagulation to prevent stroke, in a patient-centered way.
-
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.
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.