{"id":"https://openalex.org/W2030591159","doi":"https://doi.org/10.1109/ijcnn.2014.6889802","title":"Calibration-less detection of steady-state visual evoked potentials-comparisons and combinations of methods","display_name":"Calibration-less detection of steady-state visual evoked potentials-comparisons and combinations of methods","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2030591159","doi":"https://doi.org/10.1109/ijcnn.2014.6889802","mag":"2030591159"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.ulster.ac.uk/en/publications/d3ed7d53-cc4a-47ba-81e0-85998f2b5066","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025447862","display_name":"Hubert Cecotti","orcid":"https://orcid.org/0000-0002-7661-0070"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Hubert Cecotti","raw_affiliation_strings":["School of Computing and Intelligent Systems, University of Ulster, Londonderry, Northern Ireland, UK","Sch. of Comput. & Intell. Syst., Univ. of Ulster, Londonderry, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing and Intelligent Systems, University of Ulster, Londonderry, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"Sch. of Comput. & Intell. Syst., Univ. of Ulster, Londonderry, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040873360","display_name":"Damien Coyle","orcid":"https://orcid.org/0000-0002-4739-1040"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Damien Coyle","raw_affiliation_strings":["School of Computing and Intelligent Systems, University of Ulster, Londonderry, Northern Ireland, UK","Sch. of Comput. & Intell. Syst., Univ. of Ulster, Londonderry, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing and Intelligent Systems, University of Ulster, Londonderry, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"Sch. of Comput. & Intell. Syst., Univ. of Ulster, Londonderry, UK","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025447862"],"corresponding_institution_ids":["https://openalex.org/I138801177"],"apc_list":null,"apc_paid":null,"fwci":0.3135,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.58319961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4050","last_page":"4055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7741789817810059},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6746479868888855},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6732571125030518},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6632837057113647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.661176323890686},{"id":"https://openalex.org/keywords/visual-evoked-potentials","display_name":"Visual evoked potentials","score":0.6535407304763794},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5747780203819275},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5466053485870361},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4643773138523102},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.45625361800193787},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4338816702365875},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.4237423539161682},{"id":"https://openalex.org/keywords/evoked-potential","display_name":"Evoked potential","score":0.41264641284942627},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40994587540626526},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.07629254460334778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7741789817810059},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6746479868888855},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6732571125030518},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6632837057113647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.661176323890686},{"id":"https://openalex.org/C3018323323","wikidata":"https://www.wikidata.org/wiki/Q618678","display_name":"Visual evoked potentials","level":2,"score":0.6535407304763794},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5747780203819275},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5466053485870361},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4643773138523102},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.45625361800193787},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4338816702365875},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.4237423539161682},{"id":"https://openalex.org/C2778823896","wikidata":"https://www.wikidata.org/wiki/Q618678","display_name":"Evoked potential","level":2,"score":0.41264641284942627},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40994587540626526},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.07629254460334778},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/d3ed7d53-cc4a-47ba-81e0-85998f2b5066","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/d3ed7d53-cc4a-47ba-81e0-85998f2b5066","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cecotti, H & Coyle, D 2014, Calibration-less detection of steady-state visual evoked potentials - comparisons and combinations of methods. in Unknown Host Publication. IEEE, International Joint Conference on Neural Networks (IJCNN), 6/07/14.","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/d3ed7d53-cc4a-47ba-81e0-85998f2b5066","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/d3ed7d53-cc4a-47ba-81e0-85998f2b5066","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cecotti, H & Coyle, D 2014, Calibration-less detection of steady-state visual evoked potentials - comparisons and combinations of methods. in Unknown Host Publication. IEEE, International Joint Conference on Neural Networks (IJCNN), 6/07/14.","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W249546082","https://openalex.org/W1591927733","https://openalex.org/W1994855515","https://openalex.org/W2010625877","https://openalex.org/W2015655161","https://openalex.org/W2041404167","https://openalex.org/W2041905826","https://openalex.org/W2058471437","https://openalex.org/W2065045219","https://openalex.org/W2066435223","https://openalex.org/W2068049759","https://openalex.org/W2071609345","https://openalex.org/W2094817712","https://openalex.org/W2098725211","https://openalex.org/W2099509424","https://openalex.org/W2102837100","https://openalex.org/W2105478324","https://openalex.org/W2106006415","https://openalex.org/W2110863214","https://openalex.org/W2122515425","https://openalex.org/W2126617441","https://openalex.org/W2133562404","https://openalex.org/W2138193331","https://openalex.org/W2150825261","https://openalex.org/W2158655338","https://openalex.org/W2160405996","https://openalex.org/W2169795352","https://openalex.org/W2170180596","https://openalex.org/W2171101497","https://openalex.org/W2212848973","https://openalex.org/W2465883083","https://openalex.org/W6635438964","https://openalex.org/W6664905794","https://openalex.org/W6685037099","https://openalex.org/W6950475665"],"related_works":["https://openalex.org/W2321737855","https://openalex.org/W2293800410","https://openalex.org/W1991496323","https://openalex.org/W3183638985","https://openalex.org/W2356150353","https://openalex.org/W2354323478","https://openalex.org/W4320021951","https://openalex.org/W2216848651","https://openalex.org/W4393876617","https://openalex.org/W3149578378"],"abstract_inverted_index":{"Brain-Computer":[0],"Interfaces":[1],"(BCIs)":[2],"represent":[3],"a":[4,78,122],"great":[5],"challenge":[6],"in":[7,51],"signal":[8],"processing":[9],"and":[10,88,105,138,160],"machine":[11,58],"learning,":[12],"because":[13],"it":[14],"is":[15,80],"difficult":[16],"to":[17,22,27,49,85,109],"extract":[18],"discriminant":[19],"features":[20],"corresponding":[21],"particular":[23],"brain":[24,47],"responses":[25,48,101],"due":[26],"the":[28,33,44,52,63,90,97,145,148,151,157,161],"low":[29],"signal-to-noise":[30],"ratio":[31],"of":[32,43,66,92,99,124,150],"EEG":[34,53],"signal.":[35,54],"Steady-state":[36],"visual":[37],"evoked":[38],"potentials":[39],"(SSVEPs)":[40],"are":[41],"one":[42,125],"most":[45],"reliable":[46],"detect":[50],"Although":[55],"advanced":[56],"supervised":[57],"learning":[59],"techniques":[60,71,95,163],"can":[61,114],"improve":[62],"classification":[64,113],"performance":[65,91],"SSVEP":[67,100],"responses,":[68],"obtaining":[69],"robust":[70,112],"that":[72,147],"do":[73],"not":[74,154],"rely":[75],"on":[76,135,156],"training":[77],"classifier":[79],"also":[81],"important.":[82],"We":[83],"propose":[84],"analyze,":[86],"compare,":[87],"combine":[89],"three":[93],"state-of-the-art":[94],"for":[96],"detection":[98],"across":[102],"10":[103],"subjects":[104],"different":[106],"time":[107,158],"segments":[108],"determine":[110],"if":[111],"be":[115],"obtained":[116],"without":[117],"subject-specific":[118],"rigorous":[119],"analysis":[120],"using":[121],"combination":[123],"or":[126],"more":[127],"techniques.":[128],"The":[129,142],"methods":[130],"include":[131],"two":[132],"approaches":[133],"based":[134],"spatial":[136],"filtering,":[137],"canonical":[139],"correlation":[140],"analysis.":[141],"results":[143],"support":[144],"conclusion":[146],"choice":[149],"method":[152],"does":[153],"depend":[155],"segment,":[159],"current":[162],"provide":[164],"equivalent":[165],"performance.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
