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dc.contributor.authorPortillo-Lara, Ren_US
dc.contributor.authorTahirbegi, Ben_US
dc.contributor.authorChapman, CARen_US
dc.contributor.authorGoding, JAen_US
dc.contributor.authorGreen, RAen_US
dc.date.accessioned2023-05-25T09:32:09Z
dc.date.available2021-05-19en_US
dc.date.issued2021-09en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/88334
dc.description.abstractBrain-computer interfaces (BCIs) provide bidirectional communication between the brain and output devices that translate user intent into function. Among the different brain imaging techniques used to operate BCIs, electroencephalography (EEG) constitutes the preferred method of choice, owing to its relative low cost, ease of use, high temporal resolution, and noninvasiveness. In recent years, significant progress in wearable technologies and computational intelligence has greatly enhanced the performance and capabilities of EEG-based BCIs (eBCIs) and propelled their migration out of the laboratory and into real-world environments. This rapid translation constitutes a paradigm shift in human-machine interaction that will deeply transform different industries in the near future, including healthcare and wellbeing, entertainment, security, education, and marketing. In this contribution, the state-of-the-art in wearable biosensing is reviewed, focusing on the development of novel electrode interfaces for long term and noninvasive EEG monitoring. Commercially available EEG platforms are surveyed, and a comparative analysis is presented based on the benefits and limitations they provide for eBCI development. Emerging applications in neuroscientific research and future trends related to the widespread implementation of eBCIs for medical and nonmedical uses are discussed. Finally, a commentary on the ethical, social, and legal concerns associated with this increasingly ubiquitous technology is provided, as well as general recommendations to address key issues related to mainstream consumer adoption.en_US
dc.format.extent031507 - ?en_US
dc.languageengen_US
dc.relation.ispartofAPL Bioengen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.titleMind the gap: State-of-the-art technologies and applications for EEG-based brain-computer interfaces.en_US
dc.typeArticle
dc.identifier.doi10.1063/5.0047237en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/34327294en_US
pubs.issue3en_US
pubs.notesNot knownen_US
pubs.publication-statusPublished onlineen_US
pubs.volume5en_US
dcterms.dateAccepted2021-05-19en_US


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Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States