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A Myoelectric Postural Control Algorithm for Persons With Transradial Amputations: A Consideration of Clinical
Jacob L Segil1, Rahul Kaliki2, Jack Uellendahl3
1Rocky Mountain Regional VA Medical Center and the Engineering Plus Program at the University of Colorado Boulder, Boulder CO, 80304.
IEEE Robotics & Automation Magazine
|June 5, 2020
Summary
This study evaluated a new myoelectric postural control algorithm for upper limb prosthetics. While results were mixed, the algorithm showed potential, restoring 66% of hand function in trans-radial amputees.
Area of Science:
- Biomedical Engineering
- Rehabilitation Technology
- Prosthetics
Background:
- The primary challenge in upper limb prosthetic development lies in the myoelectric control algorithm.
- This study investigates the clinical readiness of a novel myoelectric postural control algorithm.
Purpose of the Study:
- To assess the efficacy of a myoelectric postural control algorithm in a laboratory setting.
- To compare its performance against a commercial state-of-the-art myoelectric controller.
Main Methods:
- The postural control algorithm was integrated into a commercially available prosthetic limb system using standard components.
- Two trans-radial amputees participated, comparing the postural controller with the i-limb revolution state-based controller.
Main Results:
- Performance comparison using the Southampton Hand Assessment Procedure (SHAP) yielded mixed results.
- The postural controller, when used with the i-limb revolution, provided an average of 66% of hand function compared to an intact limb.
Conclusions:
- The myoelectric postural control algorithm demonstrates potential for improving prosthetic hand function.
- Further research is warranted to explore its benefits in real-world, everyday applications.
