OBJECTIVE: Robotic prosthetic limbs promise to replace mechanical function of lost biological extremities and restore amputees' capacity of moving and interacting with the environment. Despite recent advances in biocompatible electrodes, surgical procedures, and mechatronics, the impact of current solutions is hampered by the lack of intuitive and robust man-machine interfaces. APPROACH: This work presents a biomimetic interface that synthetizes the musculoskeletal function of an individual's phantom limb as controlled by neural surrogates, i.e. electromyography-derived neural activations. With respect to current approaches based on machine learning, our method employs explicit representations of the musculoskeletal system to reduce the space of feasible solutions in the translation of electromyograms into prosthesis control commands. Electromyograms are mapped onto mechanical forces that belong to a subspace contained within the broader operational space of an individual's musculoskeletal system. MAIN RESULTS: Our results show that this constraint makes the approach applicable to real-world scenarios and robust to movement artefacts. This stems from the fact that any control command must always exist within the musculoskeletal model operational space and be therefore physiologically plausible. The approach was effective both on intact-limbed individuals and a transradial amputee displaying robust online control of multi-functional prostheses across a large repertoire of challenging tasks. SIGNIFICANCE: The development and translation of man-machine interfaces that account for an individual's neuromusculoskeletal system creates unprecedented opportunities to understand how disrupted neuro-mechanical processes can be restored or replaced via biomimetic wearable assistive technologies.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Robust simultaneous myoelectric control of multiple degrees of freedom in wrist-hand prostheses by real-time neuromusculoskeletal modeling


    Beteiligte:

    Erscheinungsdatum :

    01.12.2018


    Anmerkungen:

    Sartori , M , Durandau , G , Došen , S & Farina , D 2018 , ' Robust simultaneous myoelectric control of multiple degrees of freedom in wrist-hand prostheses by real-time neuromusculoskeletal modeling ' , Journal of Neural Engineering , vol. 15 , no. 6 , pp. 066026 . https://doi.org/10.1088/1741-2552/aae26b



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    629



    Myoelectric Control for Upper Limb Prostheses

    Igual, Carles / Pardo, Luis A. / Hahne, Jr. et al. | BASE | 2019

    Freier Zugriff

    Development of Pneumatic Myoelectric Prosthetic Hand with Tendon-Driven Wrist

    Tsujiuchi, N. | British Library Online Contents | 2011


    Classification of transient myoelectric signals for the control of multi-grasp hand prostheses

    Kanitz, Gunter / Cipriani, Christian / Edin, Benoni B. | BASE | 2018

    Freier Zugriff

    MULTI-DEGREE-OF-FREEDOM MYOELECTRIC ARTIFICIAL HAND CONTROL SYSTEM AND METHOD FOR USING SAME

    SONG AIGUO / HU XUHUI / WEI ZHIKAI et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    Measuring and monitoring skill learning in closed-loop myoelectric hand prostheses using speed-accuracy tradeoffs

    Mamidanna, Pranav / Gholinezhad, Shima / Farina, Dario et al. | BASE | 2024

    Freier Zugriff