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A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
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User Performance With a Transradial Multi-Articulating Hand Prosthesis During Pattern Recognition and Direct Control

Ann M Simon, Kristi L Turner, Laura A Miller

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    This summary is machine-generated.

    Pattern recognition control improved transradial amputees

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    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Medicine
    • Prosthetics and Orthotics

    Background:

    • Advanced multi-grip prosthetic hands offer enhanced functionality for individuals with transradial amputation.
    • Effective and reliable control of these complex prostheses remains a significant challenge.
    • Current control methods, including direct and pattern recognition, require further investigation for at-home use.

    Purpose of the Study:

    • To compare the at-home use and control of a multi-grip prosthetic hand using pattern recognition versus direct myoelectric control.
    • To evaluate the impact of different control strategies on user performance and grip diversity.
    • To assess the efficacy of pattern recognition control for transradial amputees in a real-world setting.

    Main Methods:

    • A multi-user study involving individuals with transradial amputation.
    • Two 8-week home trials comparing pattern recognition and direct control of an advanced prosthetic hand (OSSUR i-Limb Ultra Revolution with Coapt COMPLETE CONTROL system) in a randomized order.
    • Assessment of grip usage, the Assessment of Capacity for Myoelectric Control (ACMC) outcome measure, and evaluation of electromyography (EMG) signals during home use.

    Main Results:

    • Participants demonstrated broader grip usage with pattern recognition control compared to direct control during home trials.
    • Significant improvements in the ACMC outcome measure were observed with pattern recognition control.
    • Offline analysis of EMG data indicated user accuracy of 81.5% across three to five grips, with sufficient signal quality for effective control.

    Conclusions:

    • Pattern recognition control offers advantages over direct control for at-home use of multi-grip prosthetic hands in individuals with transradial amputation.
    • Pattern recognition control leads to improved functional outcomes and greater grip diversity.
    • EMG signal quality during home use is generally sufficient for reliable prosthetic hand control.