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    On Understanding and Measuring the Cognitive Load of Amputees for Rehabilitation and Prosthetic Development (2022)

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    Type of Content
    Journal Article
    UC Permalink
    https://hdl.handle.net/10092/103999
    
    Publisher's DOI/URI
    http://doi.org/10.1016/j.arrct.2022.100216
    
    Publisher
    Elsevier BV
    ISSN
    2590-1095
    Language
    en
    Collections
    • Engineering: Journal Articles [1636]
    Authors
    Rackerby R
    Lukosch, Stephan cc
    Munro, Deborah cc
    show all
    Abstract

    Objective: To derive a definition of cognitive load that is applicable for amputation as well as analyze suitable research models for measuring cognitive load during prosthetic use. Defining cognitive load for amputation will improve rehabilitation methods and enable better prosthetic design. Data Sources: Elsevier, Springer, PLoS, IEEE Xplore, PubMed. Study Selection: Studies on upper-limb myoelectric prosthetics and neuroprosthetics were prioritized. For understanding measurement, lower-limb amputations and studies with healthy individuals were included. Data Extraction: Queries including ‘cognitive load’, ‘neural fatigue’, ‘brain plasticity’, ‘neuroprosthetics’, ‘upper-limb prosthetics’, and ‘amputation’ were used with peerreviewed journals or articles. Papers published within the last 6 years were prioritized. Articles on foundational principles were included regardless of date. A total of 69 articles were found: 12-amputation, 15-cognitive load, 8-phantom limb, 22-sensory feedback, 12- measurement methods. Data Synthesis: The emotional, physiological, and neurological aspects of amputation, prosthetic use, and rehabilitation aspects of cognitive load were analyzed in conjunction with measurement methods, including resolution, invasiveness, and sensitivity to user movement and environmental noise. Conclusions: Usage of ‘cognitive load’ remains consistent with its original definition. For amputation, two additional elements are needed: ‘emotional fatigue’, defined as an amputee’s emotional response, including mental concentration and emotions, and ‘neural fatigue’, the physiological and neurological effects of amputation on brain plasticity. Cognitive load is estimated via neuroimaging techniques, including EEG, fMRI, and fNIRS. Because fNIRS measures cognitive load directly, has good temporal and spatial resolution, and is not as restricted by user movement, fNIRS is recommended for most cognitive load studies.

    Citation
    Rackerby R, Lukosch S, Munro D (2022). On Understanding and Measuring the Cognitive Load of Amputees for Rehabilitation and Prosthetic Development. Archives of Rehabilitation Research and Clinical Translation. 100216-100216.
    This citation is automatically generated and may be unreliable. Use as a guide only.
    Keywords
    cognitive load; neural fatigue; neurorehabilitation; Upper limb prosthetics
    ANZSRC Fields of Research
    32 - Biomedical and clinical sciences::3202 - Clinical sciences::320216 - Orthopaedics
    42 - Health sciences::4201 - Allied health and rehabilitation science::420108 - Prosthetics and orthotics
    52 - Psychology::5202 - Biological psychology::520203 - Cognitive neuroscience
    52 - Psychology::5204 - Cognitive and computational psychology::520499 - Cognitive and computational psychology not elsewhere classified
    42 - Health sciences::4201 - Allied health and rehabilitation science::420109 - Rehabilitation
    Rights
    All rights reserved unless otherwise stated
    http://hdl.handle.net/10092/17651

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