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Predictive Control for an Active Prosthetic Socket informed by FEA-based Tissue Damage Risk Estimation.

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    |January 18, 2020
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    Summary
    This summary is machine-generated.

    This study introduces a predictive control system for active prosthetic sockets to minimize residual limb tissue injury. Biomechanical analysis informed controller design, demonstrating effective interface actuation for improved prosthetic comfort and safety.

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    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Engineering
    • Prosthetics and Orthotics

    Background:

    • Residual limb tissue injury is a significant challenge in prosthetic use.
    • Current prosthetic sockets may not adequately address dynamic loading and soft tissue deformation.
    • Advanced control strategies are needed for active prosthetic systems.

    Purpose of the Study:

    • To present a generalized predictive control architecture for active prosthetic sockets.
    • To minimize residual limb tissue injury using a cost function performance index.
    • To assess deep tissue injury risk through biomechanical modeling.

    Main Methods:

    • Developed a generalized predictive control architecture.
    • Utilized finite element analysis (FEA) of a transtibial residuum model.
    • Generated controller training data from FEA simulations.
    • Modeled interface actuation as translational spring and damper systems.

    Main Results:

    • Demonstrated the feasibility of the predictive control approach.
    • Quantified internal soft tissue deformation and interface loading.
    • Provided biomechanical rationale for deep tissue injury risk assessment.
    • Validated the concept for interface actuation.

    Conclusions:

    • The proposed control architecture effectively minimizes tissue injury risk.
    • FEA provides valuable data for prosthetic controller development.
    • Active prosthetic sockets can be optimized using predictive control and biomechanical modeling.