A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface

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dc.citation.issue6
dc.citation.volume21
dc.contributor.authorSingh A
dc.contributor.authorHussain AA
dc.contributor.authorLal S
dc.contributor.authorGuesgen HW
dc.contributor.editorTran Y
dc.coverage.spatialSwitzerland
dc.date.accessioned2023-11-14T02:19:28Z
dc.date.accessioned2023-11-20T01:38:09Z
dc.date.available2021-03-20
dc.date.available2023-11-14T02:19:28Z
dc.date.available2023-11-20T01:38:09Z
dc.date.issued2021-03-20
dc.description.abstractMotor imagery (MI) based brain-computer interface (BCI) aims to provide a means of communication through the utilization of neural activity generated due to kinesthetic imagination of limbs. Every year, a significant number of publications that are related to new improvements, challenges, and breakthrough in MI-BCI are made. This paper provides a comprehensive review of the electroencephalogram (EEG) based MI-BCI system. It describes the current state of the art in different stages of the MI-BCI (data acquisition, MI training, preprocessing, feature extraction, channel and feature selection, and classification) pipeline. Although MI-BCI research has been going for many years, this technology is mostly confined to controlled lab environments. We discuss recent developments and critical algorithmic issues in MI-based BCI for commercial deployment.
dc.description.confidentialfalse
dc.edition.editionMarch 2021
dc.format.pagination1-35
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/33804611
dc.identifier.citationSingh A, Hussain AA, Lal S, Guesgen HW. (2021). A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface.. Sensors (Basel). 21. 6. (pp. 1-35).
dc.identifier.doi10.3390/s21062173
dc.identifier.eissn1424-8220
dc.identifier.elements-typejournal-article
dc.identifier.issn1424-8220
dc.identifier.numberARTN 2173
dc.identifier.piis21062173
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/69161
dc.languageeng
dc.publisherMDPI (Basel, Switzerland)
dc.publisher.urihttps://www.mdpi.com/1424-8220/21/6/2173
dc.relation.isPartOfSensors (Basel)
dc.rights(c) 2021 The Author/s
dc.rightsCC BY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectBCI calibration
dc.subjectBCI illiteracy
dc.subjectBCI training
dc.subjectadaptive BCI
dc.subjectasynchronous BCI
dc.subjectbrain–computer interface (BCI)
dc.subjectelectroencephalography (EEG)
dc.subjectmotor imagery
dc.subjectonline BCI
dc.subjectBrain-Computer Interfaces
dc.subjectElectroencephalography
dc.subjectImagination
dc.titleA Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface
dc.typeJournal article
pubs.elements-id441942
pubs.organisational-groupOther
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