{"id":"https://openalex.org/W2295009452","doi":"https://doi.org/10.1109/embc.2015.7319802","title":"A new approach for SSVEP detection using PARAFAC and canonical correlation analysis","display_name":"A new approach for SSVEP detection using PARAFAC and canonical correlation analysis","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2295009452","doi":"https://doi.org/10.1109/embc.2015.7319802","mag":"2295009452","pmid":"https://pubmed.ncbi.nlm.nih.gov/26737702"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2015.7319802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7319802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061834447","display_name":"Richard Tello","orcid":"https://orcid.org/0000-0003-1428-0990"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Richard Tello","raw_affiliation_strings":["Post-Graduate Program in Electrical Engineering (PPGEE). UFES, Vitoria, Brazil"],"affiliations":[{"raw_affiliation_string":"Post-Graduate Program in Electrical Engineering (PPGEE). UFES, Vitoria, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024531351","display_name":"Saeed Pouryazdian","orcid":null},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Saeed Pouryazdian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101547361","display_name":"Andr\u00e9 Ferreira","orcid":"https://orcid.org/0000-0001-8501-8178"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andre Ferreira","raw_affiliation_strings":["Post-Graduate Program in Electrical Engineering (PPGEE). UFES, Vitoria, Brazil"],"affiliations":[{"raw_affiliation_string":"Post-Graduate Program in Electrical Engineering (PPGEE). UFES, Vitoria, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087543977","display_name":"Soosan Beheshti","orcid":"https://orcid.org/0000-0001-7161-5887"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Soosan Beheshti","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086845888","display_name":"Sridhar Krishnan","orcid":"https://orcid.org/0000-0002-4659-564X"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sridhar Krishnan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046278346","display_name":"Teodiano Bastos-Filho","orcid":"https://orcid.org/0000-0002-1185-2773"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Teodiano Bastos","raw_affiliation_strings":["Post-Graduate Program in Electrical Engineering (PPGEE). UFES, Vitoria, Brazil"],"affiliations":[{"raw_affiliation_string":"Post-Graduate Program in Electrical Engineering (PPGEE). UFES, Vitoria, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061834447"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5821,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69876866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2015","issue":null,"first_page":"6174","last_page":"6177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.929099977016449,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.8997504115104675},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6883448362350464},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6794283986091614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6374192237854004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.587549090385437},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5510615706443787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5337504148483276},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43509641289711},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral analysis","score":0.4193258583545685},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36864984035491943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23364248871803284},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14066261053085327},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09258586168289185},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07406684756278992}],"concepts":[{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.8997504115104675},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6883448362350464},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6794283986091614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6374192237854004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.587549090385437},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5510615706443787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5337504148483276},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43509641289711},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.4193258583545685},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36864984035491943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23364248871803284},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14066261053085327},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09258586168289185},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07406684756278992},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010775","descriptor_name":"Photic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010775","descriptor_name":"Photic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010775","descriptor_name":"Photic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D033281","descriptor_name":"Nontherapeutic Human Experimentation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D033281","descriptor_name":"Nontherapeutic Human Experimentation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D033281","descriptor_name":"Nontherapeutic Human Experimentation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2015.7319802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7319802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:26737702","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26737702","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W10350632","https://openalex.org/W1978680118","https://openalex.org/W1982524534","https://openalex.org/W1994219736","https://openalex.org/W1995375725","https://openalex.org/W2023228975","https://openalex.org/W2061370212","https://openalex.org/W2098725211","https://openalex.org/W2277592459","https://openalex.org/W2283481061","https://openalex.org/W2398116549","https://openalex.org/W2404400936","https://openalex.org/W6712261219"],"related_works":["https://openalex.org/W2367413540","https://openalex.org/W1968846550","https://openalex.org/W2236178445","https://openalex.org/W1991315556","https://openalex.org/W4387164999","https://openalex.org/W2070623039","https://openalex.org/W2006749424","https://openalex.org/W2010456997","https://openalex.org/W2444009674","https://openalex.org/W3131670725"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,65],"new":[4],"way":[5],"for":[6],"automatic":[7],"detection":[8,113],"of":[9,20,37,71,80,120,136,147],"SSVEPs":[10,53],"through":[11],"correlation":[12,66,91],"analysis":[13,36,67],"between":[14,68],"tensor":[15,19,39,74],"models.":[16],"3-way":[17],"EEG":[18,38,45,73],"channel":[21],"\u00d7":[22,24],"frequency":[23],"time":[25],"is":[26,92],"decomposed":[27],"into":[28,46],"constituting":[29,47],"factor":[30],"matrices":[31],"using":[32],"PARAFAC":[33,35],"model.":[34],"enables":[40],"us":[41],"to":[42,141],"decompose":[43],"multichannel":[44],"temporal,":[48],"spectral":[49,57],"and":[50,58,75,103,111,131],"spatial":[51,59],"signatures.":[52],"characterized":[54],"with":[55],"localized":[56],"signatures":[60,70,79],"are":[61],"then":[62],"detected":[63],"exploiting":[64],"extracted":[69],"the":[72,76,89,95,112,129,132,142],"corresponding":[77],"simulated":[78],"all":[81],"target":[82],"SSVEP":[83,86],"signals.":[84],"The":[85],"that":[87],"has":[88],"highest":[90,133],"selected":[93],"as":[94,108],"intended":[96],"target.":[97],"Two":[98],"flickers":[99],"blinking":[100],"at":[101],"8":[102],"13":[104],"Hz":[105],"were":[106],"used":[107],"visual":[109],"stimuli":[110],"was":[114,138],"performed":[115],"based":[116],"on":[117],"data":[118],"packets":[119],"1":[121],"second":[122],"without":[123],"overlapping.":[124],"Five":[125],"subjects":[126],"participated":[127],"in":[128],"experiments":[130],"classification":[134],"rate":[135],"83.34%":[137],"achieved,":[139],"leading":[140],"Information":[143],"Transfer":[144],"Rate":[145],"(ITR)":[146],"21.01":[148],"bits/min.":[149]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}