Using smartphones to assess fall risk in stroke survivors
Official title: AI-based Fall-Risk Assessment during Daily Activities in Post Stroke Survivors using Smartphones
Funded at Chapman University · NIH-10580558 · Data updated 2026-11-12
This study is testing a new tool that uses smartphone data to help doctors understand how likely stroke survivors are to fall, making it easier to keep them safe in their everyday lives.
Quick facts
| Grant type | R15 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Chapman University NIH-funded |
| Lab location | 1 site (Orange, United States) |
| Project start | June 1, 2023 |
| Project end | May 31, 2026 |
| Funding year | 2023 |
| Award (this year) | $391,253 |
| NIH project number | 1R15HD110941-01 |
| Project ID | NIH-10580558 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are ambulatory stroke survivors who are at risk of falling.
✕Less likely to help
Patients who are not ambulatory or have severe cognitive impairments may not benefit from this research.
What this research studies
This research focuses on developing a machine learning tool that assesses the risk of falls in stroke survivors by analyzing data collected from smartphones worn at the waist during daily activities. The goal is to create a portable decision support system that allows clinicians to evaluate fall risk outside of clinical settings. By utilizing inertial sensor data, the project aims to provide a more objective and accurate assessment compared to traditional methods. The research will also involve students, providing them with hands-on experience in scientific research.
Why it matters
Potential benefit: If successful, this research could significantly reduce the incidence of falls among stroke survivors, improving their quality of life and reducing healthcare costs.
How similar studies have gone: Similar research has shown promise in using technology for fall risk assessment, indicating that this approach could be effective.
Where this research is happening
-
Chapman University
Orange, United States Active
Researchers
- Principal investigator: Soangra, Rahul — Chapman University
- Study coordinator: Soangra, Rahul
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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.