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Force and Position Control in Humans - The Role of Augmented Feedback
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Multi-modal myocontrol: Testing combined force- and electromyography.

Markus Nowak, Thomas Eiband, Claudio Castellini

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    Summary
    This summary is machine-generated.

    Multi-modal myocontrol using force myography (FMG) and surface electromyography (sEMG) significantly improves prosthesis control reliability. Combining FMG and sEMG, or using FMG alone, outperforms traditional sEMG for hand and wrist myocontrol.

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    Area of Science:

    • Robotics
    • Biomechanics
    • Rehabilitation Engineering

    Background:

    • Myocontrol for prostheses, using bodily signals, remains a significant challenge in assistive and rehabilitation robotics.
    • Traditional surface electromyography (sEMG) alone often lacks the dexterity and reliability required for advanced prosthetic control.
    • Multi-modal myocontrol aims to enhance prosthetic control by integrating diverse signal acquisition techniques alongside or in place of sEMG.

    Purpose of the Study:

    • To assess the effectiveness of combining surface electromyography (sEMG) and force myography (FMG) for hand and wrist myocontrol.
    • To determine optimal sensor configurations and control parameters for improved prosthetic control.
    • To compare the performance of multi-modal myocontrol against traditional sEMG-based control.

    Main Methods:

    • Simultaneous use of twenty sEMG and FMG sensors in various combined configurations.
    • Offline and online assessment of myocontrol performance for hand open/close and two wrist degrees of freedom.
    • Evaluation of ten intact subjects performing a goal-reaching task.

    Main Results:

    • sEMG-only control yielded the worst performance with a normalized root-mean-square error (nRMSE) of 9.1%.
    • Combining FMG and sEMG, or using FMG exclusively, reduced the nRMSE to 5.2-6.6%.
    • Online task performance mirrored offline assessment results, validating the proposed myocontrol strategies.

    Conclusions:

    • Multi-modal myocontrol, particularly incorporating force myography, offers a significant improvement in dexterity and reliability over traditional sEMG.
    • Optimal sensor combinations and control parameters can be identified through rigorous offline and online assessments.
    • These findings pave the way for more intuitive and dependable prosthetic limb control in rehabilitation robotics.