Objective. Dexterous upper-limb prostheses are available today to restore grasping, but an effective and reliable feed-forward control is still missing. The aim of this work was to improve the robustness and reliability of myoelectric control by using context information from sensors embedded within the prosthesis. Approach. We developed a context-driven myoelectric control scheme (cxMYO) that incorporates the inference of context information from proprioception (inertial measurement unit) and exteroception (force and grip aperture) sensors to modulate the outputs of myoelectric control. Further, a realistic evaluation of the cxMYO was performed online in able-bodied subjects using three functional tasks, during which the cxMYO was compared to a purely machine-learning-based myoelectric control (MYO). Main results. The results demonstrated that utilizing context information decreased the number of unwanted commands, improving the performance (success rate and dropped objects) in all three functional tasks. Specifically, the median number of objects dropped per round with cxMYO was zero in all three tasks and a significant increase in the number of successful transfers was seen in two out of three functional tasks. Additionally, the subjects reported better user experience. Significance. This is the first online evaluation of a method integrating information from multiple on-board prosthesis sensors to modulate the output of a machine-learning-based myoelectric controller. The proposed scheme is general and presents a simple, non-invasive and cost-effective approach for improving the robustness of myoelectric control.


    Access

    Download


    Export, share and cite



    Title :

    Context-dependent adaptation improves robustness of myoelectric control for upper-limb prostheses


    Contributors:

    Publication date :

    2017-09-20


    Remarks:

    Patel , G K , Hahne , J M , Castellini , C , Farina , D & Dosen , S 2017 , ' Context-dependent adaptation improves robustness of myoelectric control for upper-limb prostheses ' , Journal of Neural Engineering , vol. 14 , no. 5 , 056016 . https://doi.org/10.1088/1741-2552/aa7e82



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    Myoelectric Control for Upper Limb Prostheses

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

    Free access


    Application of Dexterous Space Robotics Technology to Myoelectric Prostheses

    C. Hess / L. C. H. Li / K. A. Farry et al. | NTIS | 1994


    Application of dexterous space robotics technology to myoelectric prostheses

    Hess, Clifford / Li, Larry C. H. / Farry, Kristin A. et al. | NTRS | 1994


    MYOELECTRIC CONTROL OF UNMANNED AERIAL VEHICLE BY PROSTHETIC LIMB

    ERICKSON THOMAS D / FLEMING KALA K / PICKOVER CLIFFORD A et al. | European Patent Office | 2018

    Free access