{"id":"https://openalex.org/W2754190116","doi":"https://doi.org/10.1109/embc.2017.8037226","title":"A frequency recognition method based on multitaper spectral analysis and SNR estimation for SSVEP-based brain-computer interface","display_name":"A frequency recognition method based on multitaper spectral analysis and SNR estimation for SSVEP-based brain-computer interface","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2754190116","doi":"https://doi.org/10.1109/embc.2017.8037226","mag":"2754190116","pmid":"https://pubmed.ncbi.nlm.nih.gov/29060270"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2017.8037226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101781928","display_name":"Chen Yang","orcid":"https://orcid.org/0000-0002-6764-5730"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Yang","raw_affiliation_strings":["Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668499","display_name":"Xu Han","orcid":"https://orcid.org/0000-0001-7183-5820"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Han","raw_affiliation_strings":["Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713695","display_name":"Yijun Wang","orcid":"https://orcid.org/0000-0002-8161-2150"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210091786","display_name":"State Key Laboratory on Integrated Optoelectronics","ror":"https://ror.org/00g102351","country_code":"CN","type":"facility","lineage":["https://openalex.org/I194450716","https://openalex.org/I19820366","https://openalex.org/I4210091786","https://openalex.org/I4210149211","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijun Wang","raw_affiliation_strings":["State Key Laboratory on Integrated Optoelectronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory on Integrated Optoelectronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210091786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000766901","display_name":"Xiaorong Gao","orcid":"https://orcid.org/0000-0003-0499-2740"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorong Gao","raw_affiliation_strings":["Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0219,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71403645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2017","issue":null,"first_page":"1930","last_page":"1933"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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":0.9905999898910522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multitaper","display_name":"Multitaper","score":0.8285608291625977},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7868869304656982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7777078151702881},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6074444055557251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.509341835975647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5021483898162842},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.46654677391052246},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.40646135807037354}],"concepts":[{"id":"https://openalex.org/C2777067715","wikidata":"https://www.wikidata.org/wiki/Q3327726","display_name":"Multitaper","level":2,"score":0.8285608291625977},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7868869304656982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7777078151702881},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6074444055557251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.509341835975647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5021483898162842},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.46654677391052246},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.40646135807037354},{"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":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009460","descriptor_name":"Neurologic Examination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009460","descriptor_name":"Neurologic Examination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009460","descriptor_name":"Neurologic Examination","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":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","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":false},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","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":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2017.8037226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:29060270","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29060270","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":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1966389522","https://openalex.org/W1994855515","https://openalex.org/W2004959199","https://openalex.org/W2019309916","https://openalex.org/W2041998778","https://openalex.org/W2051360945","https://openalex.org/W2080597220","https://openalex.org/W2105478324","https://openalex.org/W2122515425","https://openalex.org/W2128144507","https://openalex.org/W2132876794","https://openalex.org/W2141031554","https://openalex.org/W2143183535","https://openalex.org/W2263224228","https://openalex.org/W2315936316","https://openalex.org/W2553904372","https://openalex.org/W6699271722"],"related_works":["https://openalex.org/W2770264646","https://openalex.org/W2069675821","https://openalex.org/W1980736266","https://openalex.org/W2321737855","https://openalex.org/W2293800410","https://openalex.org/W1991496323","https://openalex.org/W3183638985","https://openalex.org/W4320021951","https://openalex.org/W2216848651","https://openalex.org/W2132158848"],"abstract_inverted_index":{"Over":[0],"the":[1,18,35,45,49,66,77,86,127,130,134,140,143,161,175,180,185,199,211,218,220,226,235],"past":[2],"several":[3],"years,":[4],"steady-state":[5],"visual":[6],"evoked":[7],"potential":[8],"(SSVEP)-based":[9],"brain-computer":[10],"interfaces":[11],"(BCIs)":[12],"have":[13],"attracted":[14],"wide":[15],"attention":[16],"in":[17,109,210],"field":[19],"of":[20,51,69,79,88,129,136,142,184,198,228],"BCIs":[21,82],"research":[22],"due":[23],"to":[24,34,75,125,217],"high":[25,212],"information":[26],"transfer":[27],"rate,":[28],"little":[29],"user":[30],"training,":[31],"and":[32,84,102,154,160,207,233],"applicability":[33],"majority.":[36],"In":[37,73,174],"conventional":[38],"recognition":[39,67,89,95,182,236],"methods":[40,145,187,201],"for":[41],"training-free":[42,80,229],"SSVEP-based":[43,81,230],"BCIs,":[44],"energy":[46],"difference":[47],"between":[48,90,238],"frequencies":[50],"electroencephalogram":[52],"(EEG)":[53],"background":[54],"noise":[55],"is":[56,61,107,188],"usually":[57],"ignored,":[58],"therefore,":[59],"there":[60],"a":[62,94],"significant":[63],"variance":[64],"among":[65],"accuracy":[68,87,141,183,197,237],"different":[70,91,239],"stimulus":[71,92],"frequencies.":[72,241],"order":[74],"improve":[76,225],"performance":[78,128,227],"system":[83],"balance":[85,234],"frequencies,":[93],"method":[96,222],"based":[97],"on":[98],"multitaper":[99],"spectral":[100],"analysis":[101],"signal-to-noise":[103],"ratio":[104],"estimation":[105],"(MTSA-SNR)":[106],"proposed":[108,131,221],"this":[110],"paper.":[111],"A":[112],"40-class":[113],"SSVEP":[114,117],"public":[115],"benchmark":[116],"dataset":[118],"recorded":[119],"from":[120],"35":[121],"subjects":[122],"was":[123,202],"used":[124],"evaluate":[126],"method.":[132],"Under":[133],"condition":[135],"2.25s":[137],"data":[138],"length,":[139],"three":[144,186,200],"were":[146,164],"81.1%":[147],"(MTSA-SNR),":[148,167,190,204],"74.5%":[149],"(canonical":[150],"correlation":[151],"analysis,":[152],"CCA)":[153],"73.4%":[155],"(multivariate":[156],"synchronization":[157],"index,":[158],"MSI),":[159],"corresponding":[162],"ITRs":[163],"101":[165],"bits/min":[166,169,172],"89":[168],"(CCA),":[170,192],"87":[171],"(MSI).":[173,194],"low":[176],"frequency":[177,213],"range":[178,214],"(8-9.8Hz),":[179],"average":[181,196],"82.9%":[189],"82.0%":[191],"83.3%":[193],"The":[195],"78.6%":[203],"64.9%":[205],"(CCA)":[206],"61.8%":[208],"(MSI)":[209],"(14-15.8Hz).":[215],"According":[216],"results,":[219],"can":[223],"effectively":[224],"BCI":[231],"system,":[232],"stimulation":[240]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
