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Neuro-computational modelling of closed-loop prostheses control.

Leonardo Nacci, Vittorio Sanguineti, Strahinja Dosen

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    Summary
    This summary is machine-generated.

    This study investigated how individuals learn to control prosthetic grip force. Increased target force and motor noise reduced control precision, while sensory noise had no significant effect, informing better human-prosthesis interaction.

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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Human-Computer Interaction

    Background:

    • Myoelectric upper-limb prostheses face challenges in usability and high rejection rates.
    • Artificial sensory feedback can enhance human-prosthesis interfacing, improving performance and user experience.
    • A principled method is lacking to evaluate the impact and effectiveness of sensory feedback in prosthetics.

    Purpose of the Study:

    • To investigate how subjects learn to control prosthetic grip force under visual guidance.
    • To examine the effects of target grip force, sensory noise, and motor noise on control performance.
    • To develop a computational model for understanding learning in prosthesis control.

    Main Methods:

    • Collected experimental data from 20 non-disabled subjects performing a grasping task.
    • Manipulated target grip force, sensory noise, and motor noise during the task.
    • Developed a computational model describing learning as the acquisition of an internal prosthesis model.

    Main Results:

    • Control precision decreased with increased target force and motor noise.
    • Sensory noise did not significantly impact control precision.
    • The computational model qualitatively reproduced experimental findings, especially the effect of motor noise.

    Conclusions:

    • Motor noise significantly affects prosthetic grip force control precision.
    • The developed model offers a foundational step for understanding prosthesis user behavior.
    • This research contributes to developing improved closed-loop control strategies for upper-limb prostheses.