Using machine learning to analyze mobility data from wearable sensors
Analyze: Machine Learning for Mobility Data
This study is all about helping people with conditions like osteoarthritis, cerebral palsy, and Parkinson’s disease move better by using smart wearable devices to track their movements, so we can create personalized rehab plans that work best for them.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project ID | NIH-10993627 on NIH RePORTER |
What this research studies
This research focuses on improving mobility for individuals with conditions like osteoarthritis, cerebral palsy, and Parkinson’s disease by utilizing mobile sensing technologies. It aims to develop machine learning models that can analyze data from wearable sensors to better understand patient movement and customize rehabilitation treatments. By creating a Biomedical Technology Resource Center, the project will push the boundaries of what can be measured through these sensors, allowing for more effective monitoring and guidance of patient function outside of clinical settings.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals suffering from osteoarthritis, cerebral palsy, or Parkinson’s disease who experience limited mobility.
Not a fit: Patients with conditions unrelated to mobility impairments may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accessible and personalized rehabilitation strategies for patients with mobility impairments.
How similar studies have performed: Other research has shown promise in using mobile sensing technologies and machine learning for analyzing movement data, indicating a potential for success in this approach.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Re, Christopher — Stanford University
- Study coordinator: Re, Christopher
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 below.