Better control of below-elbow prosthetic hands using cloud tools and AI
Improved function performance in individuals with transradial limb difference using cloud based health system and deep learning
This project uses cloud-connected health tools and deep learning to help people with below-elbow amputations control myoelectric prosthetic hands more reliably.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Rehabilitation Institute of Chicago D/b/a Shirley Ryan Abilitylab NIH-funded |
| Lab location | 1 site (Chicago, United States) |
| Project ID | NIH-11225165 on NIH RePORTER |
What this research studies
If you have a below-elbow (transradial) amputation, this project aims to improve how your prosthetic reads muscle signals and responds to your intended movements. Researchers will compare a standard pattern-recognition controller to one enhanced with deep learning and data augmentation that can compensate for signal loss from loose electrodes or broken leads. A cloud-based system will collect device data, support recalibration, and enable controller updates during clinic and real-world use. The goal is fewer dropouts, easier recalibration, and better everyday function so people keep using their prostheses.
Who could benefit from this research
Good fit: Adults with transradial (below-elbow) limb loss who use or plan to use myoelectric prostheses and can attend clinic testing in Chicago are ideal candidates.
Not a fit: People with amputations above the elbow, those who use only body-powered or purely cosmetic prostheses, or those unable to wear EMG sensors are unlikely to benefit.
Why it matters
Potential benefit: Could make myoelectric prostheses more reliable and easier to use, improving daily function and reducing device abandonment.
How similar studies have performed: Prior studies show machine-learning methods can improve EMG control in lab settings, but combining deep learning with cloud-based augmentation for real-world prosthesis reliability is relatively new.
Where this research is happening
Chicago, United States
- Rehabilitation Institute of Chicago D/b/a Shirley Ryan Abilitylab — Chicago, United States (Active)
Researchers
- Principal investigator: Hargrove, Levi John — Rehabilitation Institute of Chicago D/b/a Shirley Ryan Abilitylab
- Study coordinator: Hargrove, Levi John
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.