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    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Rehabilitation Science

    Background:

    • Sensory feedback is crucial for hand and object interaction, enabling neural control.
    • Artificial sensory feedback improves prosthetic hand force control via closed-loop systems.
    • Limited understanding exists on perceptual information transfer between intact and prosthetic limbs.

    Purpose of the Study:

    • Investigate inter-limb transfer of perceptual information between native and prosthetic hands.
    • Determine if training improves myoelectric prosthetic control through contralateral limb association.
    • Explore the role of mechanotactile feedback in prosthetic hand force matching.

    Main Methods:

    • Utilized a contralateral force-matching task with able-bodied participants.
    • Participants matched grasp forces using their native hand and a prosthetic hand with mechanotactile feedback.
    • Assessed absolute and relative matching errors and matching time.

    Main Results:

    • Higher absolute matching error and longer matching time observed with the prosthetic system compared to the native hand.
    • Contralateral training significantly reduced relative matching error with the prosthetic system, even at untrained force levels.
    • Demonstrated successful transfer of grasp force perception between limbs.

    Conclusions:

    • An association can be formed between prosthetic limb perception and the contralateral intact limb.
    • Findings offer insights for training strategies and design of closed-loop prosthetic systems.
    • Inter-limb transfer shows potential for enhancing prosthetic hand control and user experience.