{"id":"https://openalex.org/W2295185122","doi":"https://doi.org/10.1007/978-3-319-25393-0_35","title":"Frequency Recognition Based on Wavelet-Independent Component Analysis for SSVEP-Based BCIs","display_name":"Frequency Recognition Based on Wavelet-Independent Component Analysis for SSVEP-Based BCIs","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2295185122","doi":"https://doi.org/10.1007/978-3-319-25393-0_35","mag":"2295185122"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-25393-0_35","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25393-0_35","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-25393-0_35","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100782694","display_name":"Limin Yang","orcid":"https://orcid.org/0000-0002-7941-7938"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Limin Yang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028412545","display_name":"Ze Wang","orcid":"https://orcid.org/0000-0001-9700-7900"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Ze Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079141229","display_name":"Chi Man Wong","orcid":"https://orcid.org/0000-0002-1307-6923"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Chi Man Wong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042089544","display_name":"Feng Wan","orcid":"https://orcid.org/0000-0002-9359-0737"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Feng Wan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.8615,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71210469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"315","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9987000226974487,"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/T10320","display_name":"Neural Networks and Applications","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.822772741317749},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6970676779747009},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.6904977560043335},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.667971134185791},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6203008890151978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5891638398170471},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5457606911659241},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5408156514167786},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5071499347686768},{"id":"https://openalex.org/keywords/component-analysis","display_name":"Component analysis","score":0.49496954679489136},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.48004138469696045},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4235888719558716},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08198589086532593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.822772741317749},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6970676779747009},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.6904977560043335},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.667971134185791},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6203008890151978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5891638398170471},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5457606911659241},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5408156514167786},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5071499347686768},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.49496954679489136},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.48004138469696045},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4235888719558716},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08198589086532593},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-25393-0_35","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25393-0_35","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-25393-0_35","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25393-0_35","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1653130573","https://openalex.org/W2019502123","https://openalex.org/W2023666981","https://openalex.org/W2029670424","https://openalex.org/W2029995182","https://openalex.org/W2051114789","https://openalex.org/W2076560181","https://openalex.org/W2081426911","https://openalex.org/W2099741732","https://openalex.org/W2105478324","https://openalex.org/W2170180596","https://openalex.org/W4239172601"],"related_works":["https://openalex.org/W1971575144","https://openalex.org/W2369494890","https://openalex.org/W2077021924","https://openalex.org/W2139404519","https://openalex.org/W1513845058","https://openalex.org/W2121025724","https://openalex.org/W2393502243","https://openalex.org/W2123927273","https://openalex.org/W3112853371","https://openalex.org/W2370924545"],"abstract_inverted_index":{"Among":[0],"the":[1,12,29,56,78,108,112,121,123,127,135],"EEG-based":[2],"BCIs,":[3],"SSVEP-based":[4,27,79],"BCIs":[5,28],"have":[6],"gained":[7],"much":[8],"attention":[9],"due":[10],"to":[11,88,106],"advantages":[13],"of":[14,120,126],"relatively":[15],"high":[16],"information":[17],"transfer":[18],"rate":[19],"(ITR)":[20],"and":[21,59,98],"short":[22],"calibration":[23],"time.":[24],"Although":[25],"in":[26,48,77,81],"frequency":[30],"recognition":[31,124],"methods":[32],"using":[33,42],"multiple":[34],"channels":[35],"EEG":[36],"signals":[37],"may":[38],"provide":[39],"better":[40],"accuracy,":[41],"single":[43,68,91,129,137],"channel":[44,69,92,130,138],"would":[45],"be":[46],"preferable":[47],"a":[49,66,90],"practical":[50],"scenario":[51],"since":[52],"it":[53],"can":[54],"make":[55],"system":[57],"simple":[58],"easy-to-use.":[60],"To":[61],"this":[62],"goal,":[63],"we":[64],"propose":[65],"new":[67],"method":[70,131],"based":[71],"on":[72],"wavelet-independent":[73],"component":[74,101],"analysis":[75,102],"(WICA)":[76],"BCI,":[80],"which":[82],"wavelet":[83,96,113],"transform":[84],"(WT)":[85],"is":[86,104,132],"applied":[87,105],"decompose":[89],"signal":[93],"into":[94],"several":[95],"components":[97],"then":[99],"independent":[100,109],"(ICA)":[103],"separate":[107],"sources":[110],"from":[111],"components.":[114],"Experimental":[115],"results":[116],"show":[117],"that":[118],"most":[119],"time":[122],"accuracy":[125],"proposed":[128],"higher":[133],"than":[134],"conventional":[136],"method,":[139],"power":[140],"spectrum":[141],"(PS)":[142],"method.":[143]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
