In this paper we evaluate the use of linear regressors to reconstruct knee angles from electromyographic signals recorded from lower-limb muscles in charge of knee flexion and extension. This neuromechanical model has been tested under two different speed conditions showing a very reliable reconstruction of knee kinematics for all participants. A generalized model, including all participants, has also been tested with a small reduction of decoding accuracy, but still showing enough reliability. The application of neuromechanical modelling has important advantages in the generation of a more natural and embodied control of lower-limb exoskeletons. The proposed model is expected to have a robust behavior in a real-time control of this kind of devices.


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    Titel :

    A Neuromechanical Model of Knee Flexion-Extension Based on Linear Regressors for Neuro-Controlled Exoskeletons


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Tardioli, Danilo (Herausgeber:in) / Matellán, Vicente (Herausgeber:in) / Heredia, Guillermo (Herausgeber:in) / Silva, Manuel F. (Herausgeber:in) / Marques, Lino (Herausgeber:in) / Bernat, Lluis (Autor:in) / Morell, Vicente (Autor:in) / Ramon, Jose L. (Autor:in) / Pomares, Jorge (Autor:in) / Ubeda, Andres (Autor:in)

    Kongress:

    Iberian Robotics conference ; 2022 ; Zaragoza, Spain November 23, 2022 - November 25, 2022



    Erscheinungsdatum :

    19.11.2022


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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