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

Simple item page
dc.contributor.authorRackerby R
dc.contributor.authorLukosch, Stephan
dc.contributor.authorMunro, Deborah
dc.date.accessioned2022-07-26T23:58:26Z
dc.date.available2022-07-26T23:58:26Z
dc.date.issued2022en
dc.date.updated2022-07-22T05:01:49Z
dc.description.abstractObjective: 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.en
dc.identifier.citationRackerby 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.en
dc.identifier.doihttp://doi.org/10.1016/j.arrct.2022.100216
dc.identifier.issn2590-1095
dc.identifier.urihttps://hdl.handle.net/10092/103999
dc.languageen
dc.language.isoenen
dc.publisherElsevier BVen
dc.rightsAll rights reserved unless otherwise stateden
dc.rights.urihttp://hdl.handle.net/10092/17651en
dc.subjectcognitive loaden
dc.subjectneural fatigueen
dc.subjectneurorehabilitationen
dc.subjectUpper limb prostheticsen
dc.subject.anzsrcFields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320216 - Orthopaedicsen
dc.subject.anzsrcFields of Research::42 - Health sciences::4201 - Allied health and rehabilitation science::420108 - Prosthetics and orthoticsen
dc.subject.anzsrcFields of Research::52 - Psychology::5202 - Biological psychology::520203 - Cognitive neuroscienceen
dc.subject.anzsrcFields of Research::52 - Psychology::5204 - Cognitive and computational psychology::520499 - Cognitive and computational psychology not elsewhere classifieden
dc.subject.anzsrcFields of Research::42 - Health sciences::4201 - Allied health and rehabilitation science::420109 - Rehabilitationen
dc.titleOn Understanding and Measuring the Cognitive Load of Amputees for Rehabilitation and Prosthetic Developmenten
dc.typeJournal Articleen
uc.collegeFaculty of Engineering
uc.departmentMechanical Engineering
uc.departmentHuman Interface Technology Laboratory
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
rackerby22a.pdf
Size:
1.18 MB
Format:
Adobe Portable Document Format
Description:
Accepted version
Download
Collections
Engineering: Journal Articles