For over two centuries, the wheelchair has been one of the most common assistive devices for individuals with locomotor impairments without many modifications. Wheelchair control is a complex motor task that increases both the physical and cognitive workload. New wheelchair interfaces, including Power Assisted devices, can further augment users by reducing the required physical effort, however little is known on the mental effort implications. In this study, we adopted a neuroergonomic approach utilizing mobile and wireless functional near infrared spectroscopy (fNIRS) based brain monitoring of physically active participants. 48 volunteers (30 novice and 18 experienced) self-propelled on a wheelchair with and without a PowerAssist interface in both simple and complex realistic environments. Results indicated that as expected, the complex more difficult environment led to lower task performance complemented by higher prefrontal cortex activity compared to the simple environment. The use of the PowerAssist feature had significantly lower brain activation compared to traditional manual control only for novices. Expertise led to a lower brain activation pattern within the middle frontal gyrus, complemented by performance metrics that involve lower cognitive workload. Results here confirm the potential of the Neuroergonomic approach and that direct neural activity measures can complement and enhance task performance metrics. We conclude that the cognitive workload benefits of PowerAssist are more directed to new users and difficult settings. The approach demonstrated here can be utilized in future studies to enable greater personalization and understanding of mobility interfaces within real-world dynamic environments.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Neuroergonomic Assessment of Wheelchair Control Using Mobile fNIRS



    Erscheinungsdatum :

    04.05.2020


    Anmerkungen:

    Joshi , S , Herrera , R R , Springett , D N , Weedon , B D , Ramirez , D Z M , Holloway , C , Dawes , H & Ayaz , H 2020 , ' Neuroergonomic Assessment of Wheelchair Control Using Mobile fNIRS ' , IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society , vol. 28 , no. 6 , 9086088 , pp. 1488-1496 . https://doi.org/10.1109/TNSRE.2020.2992382



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    629



    Neuroergonomic Assessment of Wheelchair Control Using Mobile fNIRS

    Joshi, S / Ramirez Herrera, R / Springett, DN et al. | BASE | 2020

    Freier Zugriff

    Robotic Assessment of Wrist Proprioception During Kinaesthetic Perturbations: A Neuroergonomic Approach

    D'Antonio E. / Galofaro E. / Zenzeri J. et al. | BASE | 2021

    Freier Zugriff

    A Neuroergonomic Evaluation Method of Human-Machine Interaction in Touch-Control Display System

    Dong, Y. / Li, X. / Yao, L. et al. | British Library Online Contents | 2014


    The out-of-the-loop Brain: A neuroergonomic approach of the human automation interaction

    Berberian, Bruno / Somon, Bertille / Sahaï, Aïsha et al. | British Library Online Contents | 2017