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    Simultaneous Prediction of Multiple Unmeasured Muscle Activations Through Synergy Extrapolation

    Source: Journal of Biomechanical Engineering:;2025:;volume( 147 ):;issue: 003::page 31002-1
    Author:
    Tahmid, Shadman
    ,
    Yang, James
    DOI: 10.1115/1.4067520
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Estimating muscle forces is crucial for understanding joint dynamics and improving rehabilitation strategies, particularly for patients with neurological disorders who suffer from impaired muscle function. Muscle forces are directly proportional to muscle activations, which can be obtained using electromyography (EMG). EMG-driven modeling estimates muscle forces and joint moments from muscle activations. While surface muscles' activations can be obtained using surface electrodes, deep muscles require invasive methods and are not readily available for real-time applications. This study aims to extend our previously developed method for a single unmeasured muscle to a comprehensive approach for the simultaneous prediction of multiple unmeasured muscle activations in the upper extremity using muscle synergy extrapolation and EMG-driven modeling. By employing non-negative matrix factorization to decompose known EMG data into synergy components, the activations of unmeasured muscles are reconstructed with high accuracy by minimizing differences between joint moments obtained by EMG-driven modeling and inverse dynamics. This methodology is validated through experimentally collected muscle activations, demonstrating over 90% correlation with EMG signals in various scenarios.
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      Simultaneous Prediction of Multiple Unmeasured Muscle Activations Through Synergy Extrapolation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4305843
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    • Journal of Biomechanical Engineering

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    contributor authorTahmid, Shadman
    contributor authorYang, James
    date accessioned2025-04-21T10:16:22Z
    date available2025-04-21T10:16:22Z
    date copyright1/17/2025 12:00:00 AM
    date issued2025
    identifier issn0148-0731
    identifier otherbio_147_03_031002.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305843
    description abstractEstimating muscle forces is crucial for understanding joint dynamics and improving rehabilitation strategies, particularly for patients with neurological disorders who suffer from impaired muscle function. Muscle forces are directly proportional to muscle activations, which can be obtained using electromyography (EMG). EMG-driven modeling estimates muscle forces and joint moments from muscle activations. While surface muscles' activations can be obtained using surface electrodes, deep muscles require invasive methods and are not readily available for real-time applications. This study aims to extend our previously developed method for a single unmeasured muscle to a comprehensive approach for the simultaneous prediction of multiple unmeasured muscle activations in the upper extremity using muscle synergy extrapolation and EMG-driven modeling. By employing non-negative matrix factorization to decompose known EMG data into synergy components, the activations of unmeasured muscles are reconstructed with high accuracy by minimizing differences between joint moments obtained by EMG-driven modeling and inverse dynamics. This methodology is validated through experimentally collected muscle activations, demonstrating over 90% correlation with EMG signals in various scenarios.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSimultaneous Prediction of Multiple Unmeasured Muscle Activations Through Synergy Extrapolation
    typeJournal Paper
    journal volume147
    journal issue3
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4067520
    journal fristpage31002-1
    journal lastpage31002-9
    page9
    treeJournal of Biomechanical Engineering:;2025:;volume( 147 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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