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Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
Published on: January 7, 2019
Sensing Muscle Deformation for Upper-Limb Prosthetic Control: A Narrative Review
Summary
New prosthetic control methods use muscle deformation signals to improve artificial limb function. These displacement-based strategies offer a promising alternative to traditional surface electromyography for transradial amputees.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Rehabilitation Technology
Background:
- Hand loss significantly impacts daily life and mental health.
- Surface electromyography (sEMG) has limitations in prosthetic control due to poor signal resolution and instability.
- Biomechanical signals offer an alternative to electrophysiological signals for prosthetic control.
Purpose of the Study:
- To review displacement-based prosthetic control strategies for transradial amputees.
- To evaluate the clinical progress, technological principles, and outcomes of these strategies.
- To identify challenges hindering widespread clinical adoption.
Main Methods:
- Review of sonomyography, force myography, mechanomyography, and myokinetic interfaces.
- Analysis of technologies exploiting remnant muscle deformations.
- Examination of studies involving clinical testing in individuals with transradial amputation.
Main Results:
- Displacement-based approaches show promise in overcoming sEMG limitations.
- Several strategies have progressed to clinical testing, demonstrating potential for enhanced human-machine interfaces.
- Reported outcomes vary, with ongoing challenges in accuracy and robustness for daily use.
Conclusions:
- Displacement-based prosthetic control strategies represent a significant advancement.
- Further research is needed to address challenges in accuracy and robustness for reliable daily function.
- These methods hold potential for more intuitive and effective artificial limb control.

