Publication:

Optimal Sensor Set for Decoding Motor Imagery from EEG

Date

2023
Journal article
https://doi.org/10.3390/app13074438
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dc.contributor.authorDillen, Arnau
dc.contributor.authorGhaffari, Fakhreddine
dc.contributor.authorRomain, Olivier
dc.contributor.authorVanderborght, Bram
dc.contributor.authorMarusic, Uros
dc.contributor.authorGrospretre, Sidney
dc.contributor.authorNowe, Ann
dc.contributor.authorMeeusen, Romain
dc.contributor.authorDe Pauw, Kevin
dc.contributor.imecauthorVanderborght, Bram
dc.contributor.orcidimecVanderborght, Bram::0000-0003-4881-9341
dc.date.accessioned2023-07-04T10:51:00Z
dc.date.available2023-05-16T19:48:37Z
dc.date.available2023-07-04T10:51:00Z
dc.date.embargo2023-03-31
dc.date.issued2023
dc.description.wosFundingTextThe authors would like to thank the people who participated in the data-gathering experiments and the students who assisted in the execution of these experiments. This research was made possible thanks to the EUTOPIA Ph.D. co-tutelle program and the Strategic Research Program Exercise and the Brain in Health and Disease: The Added Value of Human-Centered Robotics. UM gratefully acknowledges funding from the European Union's Horizon 2020Research and Innovation Program under grant agreement no. 952401 (TwinBrain-TWINning the BRAIN with machine learning for neuro-muscular efficiency).
dc.identifier.doi10.3390/app13074438
dc.identifier.issn2076-3417
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41596
dc.publisherMDPI
dc.source.beginpageArt. 4438
dc.source.endpagena
dc.source.issue7
dc.source.journalAPPLIED SCIENCES-BASEL
dc.source.numberofpages15
dc.source.volume13
dc.subject.keywordsBRAIN-COMPUTER-INTERFACE
dc.subject.keywordsVISUAL-IMAGERY
dc.subject.keywordsBCI
dc.subject.keywordsACTIVATION
dc.subject.keywordsMOVEMENT
dc.title

Optimal Sensor Set for Decoding Motor Imagery from EEG

dc.typeJournal article
dspace.entity.typePublication
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