Intra- and Inter-rater Reliability of Manual Feature Extraction Methods in Movement Related Cortical Potential Analysis

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aut.relation.issue8en_NZ
aut.relation.journalSensors (Switzerland)en_NZ
aut.relation.volume20en_NZ
aut.researcherRashid, Usman
dc.contributor.authorAlder, Gen_NZ
dc.contributor.authorSignal, Nen_NZ
dc.contributor.authorRashid, Uen_NZ
dc.contributor.authorOlsen, Sen_NZ
dc.contributor.authorNiazi, IKen_NZ
dc.contributor.authorTaylor, Den_NZ
dc.date.accessioned2020-06-22T04:26:21Z
dc.date.available2020-06-22T04:26:21Z
dc.date.copyright2020-04-02en_NZ
dc.date.issued2020-04-02en_NZ
dc.description.abstractEvent related potentials (ERPs) provide insight into the neural activity generated in response to motor, sensory and cognitive processes. Despite the increasing use of ERP data in clinical research little is known about the reliability of human manual ERP labelling methods. Intra-rater and inter-rater reliability were evaluated in five electroencephalography (EEG) experts who labelled the peak negativity of averaged movement related cortical potentials (MRCPs) derived from thirty datasets. Each dataset contained 50 MRCP epochs from healthy people performing cued voluntary or imagined movement, or people with stroke performing cued voluntary movement. Reliability was assessed using the intraclass correlation coefficient and standard error of measurement. Excellent intra-and inter-rater reliability was demonstrated in the voluntary movement conditions in healthy people and people with stroke. In comparison reliability in the imagined condition was low to moderate. Post-hoc secondary epoch analysis revealed that the morphology of the signal contributed to the consistency of epoch inclusion; potentially explaining the differences in reliability seen across conditions. Findings from this study may inform future research focused on developing automated labelling methods for ERP feature extraction and call to the wider community of researchers interested in utilizing ERPs as a measure of neurophysiological change or in the delivery of EEG-driven interventions.en_NZ
dc.identifier.citationSensors, 20(8), 2427. doi:10.3390/s20082427
dc.identifier.doi10.3390/s20082427en_NZ
dc.identifier.issn1424-8220en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/13419
dc.publisherMDPI
dc.relation.urihttps://www.mdpi.com/1424-8220/20/8/2427
dc.rightsThis is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectElectroencephalography (EEG) processing; Event related potential (ERP); Movement related cortical potential (MRCP); Stroke; Intra-rater reliability; Inter-rater reliability
dc.titleIntra- and Inter-rater Reliability of Manual Feature Extraction Methods in Movement Related Cortical Potential Analysisen_NZ
dc.typeJournal Article
pubs.elements-id374194
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Health & Environmental Science
pubs.organisational-data/AUT/Health & Environmental Science/Clinical Sciences
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HH Clinical Sciences 2018 PBRF
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