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dc.contributor.authorZerafa, Rosanne-
dc.contributor.authorCamilleri, Tracey A.-
dc.contributor.authorFalzon, Owen-
dc.contributor.authorCamilleri, Kenneth P.-
dc.date.accessioned2022-03-18T07:03:55Z-
dc.date.available2022-03-18T07:03:55Z-
dc.date.issued2018-
dc.identifier.citationZerafa, R., Camilleri, T., Falzon, O., & Camilleri, K. P. (2018). A comparison of a broad range of EEG acquisition devices–is there any difference for SSVEP BCIs?. Brain-Computer Interfaces, 5(4), 121-131.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/91735-
dc.description.abstractThis study compared the signal quality of six commercially available electroencephalography (EEG) signal acquisition systems in order to evaluate their application in a brain-computer interface (BCI). This is one of the largest studies in terms of subjects and systems focusing on comparing different EEG systems, involving the whole variety in terms of amplifier (research grade, consumer grade), electrode type (gel-based, saline-based, dry, active, passive), transmission technique (wired, wireless), and cost. We established an approach to evaluate the signal quality by means of a steady-state visually evoked potentials (SSVEP) experiment. This demonstrated that although high-end traditional EEG equipment may be the best choice for clinical applications, low-end wireless research grade gel-based EEG systems are comparable in terms of signal quality and therefore may be an effective alternative to BCIs developed for real environments. Other factors, such as end user and application, should also be considered when deciding which EEG system is best suited for a BCI.en_GB
dc.language.isoenen_GB
dc.publisherTaylor & Francisen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectElectrooculographyen_GB
dc.subjectBrain-computer interfacesen_GB
dc.subjectComputer interfacesen_GB
dc.subjectElectroencephalography -- Data processingen_GB
dc.titleA comparison of a broad range of EEG acquisition devices – is there any difference for SSVEP BCIs?en_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1080/2326263X.2018.1550710-
dc.publication.titleBrain-Computer Interfacesen_GB
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