Non-Linear Adapted Spatio-Temporal Filter for Single-Trial Identification of Movement-Related Cortical Potential

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aut.relation.articlenumber1246
aut.relation.endpage1246
aut.relation.issue5
aut.relation.journalElectronics (Switzerland)
aut.relation.startpage1246
aut.relation.volume12
dc.contributor.authorMesin, L
dc.contributor.authorGhani, U
dc.contributor.authorNiazi, IK
dc.date.accessioned2023-06-13T04:30:19Z
dc.date.available2023-06-13T04:30:19Z
dc.date.issued2023-03-05
dc.description.abstractThe execution or imagination of a movement is reflected by a cortical potential that can be recorded by electroencephalography (EEG) as Movement-Related Cortical Potentials (MRCPs). The identification of MRCP from a single trial is a challenging possibility to get a natural control of a Brain–Computer Interface (BCI). We propose a novel method for MRCP detection based on optimal non-linear filters, processing different channels of EEG including delayed samples (getting a spatio-temporal filter). Different outputs can be obtained by changing the order of the temporal filter and of the non-linear processing of the input data. The classification performances of these filters are assessed by cross-validation on a training set, selecting the best ones (adapted to the user) and performing a majority voting from the best three to get an output using test data. The method is compared to another state-of-the-art filter recently introduced by our group when applied to EEG data recorded from 16 healthy subjects either executing or imagining 50 self-paced upper-limb palmar grasps. The new approach has a median accuracy on the overall dataset of 80%, which is significantly better than that of the previous filter (i.e., 63%). It is feasible for online BCI system design with asynchronous, self-paced applications.
dc.identifier.citationElectronics (Switzerland), ISSN: 2079-9292 (Print); 2079-9292 (Online), MDPI AG, 12(5), 1246-1246. doi: 10.3390/electronics12051246
dc.identifier.doi10.3390/electronics12051246
dc.identifier.issn2079-9292
dc.identifier.issn2079-9292
dc.identifier.urihttps://hdl.handle.net/10292/16263
dc.languageen
dc.publisherMDPI AG
dc.relation.urihttps://www.mdpi.com/2079-9292/12/5/1246
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject40 Engineering
dc.subject4003 Biomedical Engineering
dc.subjectNeurological
dc.subject0906 Electrical and Electronic Engineering
dc.subject4009 Electronics, sensors and digital hardware
dc.titleNon-Linear Adapted Spatio-Temporal Filter for Single-Trial Identification of Movement-Related Cortical Potential
dc.typeJournal Article
pubs.elements-id508401
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