{"id":"https://openalex.org/W2973154174","doi":"https://doi.org/10.1109/bhi.2019.8834616","title":"Filter Bank Spatiotemporal Beamforming for Frequency Detection in SSVEP-based BCI","display_name":"Filter Bank Spatiotemporal Beamforming for Frequency Detection in SSVEP-based BCI","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2973154174","doi":"https://doi.org/10.1109/bhi.2019.8834616","mag":"2973154174"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2019.8834616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2019.8834616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5055699601","display_name":"Yichuan Jiang","orcid":"https://orcid.org/0000-0003-3940-0477"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichuan Jiang","raw_affiliation_strings":["Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007505380","display_name":"Kang Yue","orcid":"https://orcid.org/0000-0002-7604-0397"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Kang","raw_affiliation_strings":["Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395912","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0001-6467-1581"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065049427","display_name":"Sheng Ge","orcid":"https://orcid.org/0000-0001-6152-1318"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Ge","raw_affiliation_strings":["Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9997000098228455,"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":0.9997000098228455,"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":0.996999979019165,"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":0.9940999746322632,"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":0.8055710792541504},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.730631947517395},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6614521145820618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5990412831306458},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5988683104515076},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5724002122879028},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.562192440032959},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.5563880205154419},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.4562261700630188},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37804508209228516},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2324608862400055},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.18527066707611084},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06306818127632141}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8055710792541504},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.730631947517395},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6614521145820618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5990412831306458},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5988683104515076},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5724002122879028},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.562192440032959},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.5563880205154419},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.4562261700630188},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37804508209228516},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2324608862400055},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.18527066707611084},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06306818127632141},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2019.8834616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2019.8834616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2005634718","https://openalex.org/W2048952602","https://openalex.org/W2055264244","https://openalex.org/W2063960283","https://openalex.org/W2081020044","https://openalex.org/W2098725211","https://openalex.org/W2143183535","https://openalex.org/W2145302786","https://openalex.org/W2168572392","https://openalex.org/W2338492816","https://openalex.org/W2407287203","https://openalex.org/W2492101404","https://openalex.org/W2794480229","https://openalex.org/W2800457852","https://openalex.org/W3149679044","https://openalex.org/W6663054249"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2093195256","https://openalex.org/W2154562908","https://openalex.org/W2321737855","https://openalex.org/W2293800410","https://openalex.org/W1991496323","https://openalex.org/W3183638985","https://openalex.org/W4320021951","https://openalex.org/W2216848651"],"abstract_inverted_index":{"Recently,":[0],"a":[1,74,79],"new":[2,118],"spatiotemporal":[3,51],"filter":[4,34,80],"based":[5],"on":[6],"linearly":[7],"constrained":[8],"minimum":[9],"variance":[10],"(LCMV)":[11],"beamforming":[12,52],"was":[13],"introduced":[14],"for":[15,38,162],"steady-state":[16],"visual":[17],"evoked":[18],"potentials":[19],"(SSVEPs)":[20],"detection.":[21],"Due":[22],"to":[23,47,85],"the":[24,30,33,45,100,114],"use":[25],"of":[26,95,116,123],"calibration":[27],"data":[28],"and":[29,42,91,97,130],"time-domain":[31],"approach,":[32],"can":[35,54,140],"be":[36],"optimized":[37],"each":[39],"individual":[40],"participant":[41],"significantly":[43],"improve":[44,99],"signal":[46],"noise":[48],"ratio.":[49],"Therefore,":[50],"(STBF)":[53],"achieve":[55,141],"higher":[56,147],"classification":[57,143],"accuracy":[58],"compared":[59,113],"with":[60,83,121],"other":[61,125,150],"widely":[62],"used":[63],"canonical":[64],"correlation":[65],"analysis":[66],"(CCA)-based":[67],"methods.":[68],"In":[69],"this":[70],"study,":[71],"we":[72,112,153],"propose":[73],"novel":[75,157],"method":[76,120,139,159],"that":[77,122,136,155],"combines":[78],"bank":[81],"approach":[82],"STBF,":[84],"learn":[86],"discriminative":[87],"features":[88],"from":[89,109],"fundamental":[90],"harmonic":[92],"frequency":[93,101],"components":[94],"SSVEPs":[96],"further":[98],"detection":[102,119],"rate.":[103],"Using":[104],"12-class":[105],"SSVEP":[106],"datasets":[107],"recorded":[108],"ten":[110],"participants,":[111],"performance":[115],"our":[117,137,156],"four":[124],"methods,":[126],"CCA,":[127],"IT-CCA,":[128],"Comb-CCA":[129],"STBF.":[131],"The":[132],"obtained":[133],"results":[134],"show":[135],"FB-STBF":[138,158],"85.67%":[142],"accuracy,":[144],"which":[145],"is":[146,160],"than":[148],"all":[149],"approaches.":[151],"Thus,":[152],"suggest":[154],"suitable":[161],"implementing":[163],"high-performance":[164],"SSVEP-based":[165],"BCI":[166],"systems":[167]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}