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Balancing Biomechanics and Preference in Assistive Device Tuning via Metric-Regularized Optimization.

Dabin K Choe, Digby Chappell, Ashlyn J Aiello

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    |March 27, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Tuning gait-assistive devices requires balancing biomechanical benefits with user preference. This study found that optimizing one aspect often harms the other, but a new method shows balancing is feasible and essential for effective technology adoption.

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    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Technology
    • Biomechanics

    Background:

    • Gait-assistive technologies offer significant potential but face adoption barriers due to tuning complexities.
    • Optimizing devices for biomechanical benefits and user preference simultaneously remains a challenge.

    Purpose of the Study:

    • To quantify the conflict between biomechanical outcomes and user/clinician preference in gait-assistive device tuning.
    • To identify the sources of this dissonance and propose methods for improvement.
    • To develop a balanced tuning approach integrating biomechanics and preference.

    Main Methods:

    • Collected biomechanics and preference data from post-stroke individuals using a plantarflexion neuroprosthesis and clinician datasets.
    • Modeled outcomes of isolated optimization for biomechanics and preference.
    • Used weighted sums of biomechanical components to identify preference determinants and their anatomical locations.
    • Developed a method for balancing preference with multiple biomechanical metrics.

    Main Results:

    • Optimizing solely for preference or biomechanics led to suboptimal outcomes in the other domain.
    • Patient and clinician preference strongly correlated with a small number of biomechanical determinants, though these varied individually.
    • The proposed balanced tuning method significantly improved preference outcomes and prevented negative biomechanical effects.

    Conclusions:

    • Both biomechanics and user preference are critical for effective gait-assistive device tuning.
    • The biomechanical factors influencing preference are highly individualized.
    • Balancing biomechanics and preference in gait-assistive devices is both necessary and achievable.