{"id":"https://openalex.org/W4210245176","doi":"https://doi.org/10.1109/jbhi.2022.3146274","title":"Feature Extraction Method Based on Filter Banks and Riemannian Tangent Space in Motor-Imagery BCI","display_name":"Feature Extraction Method Based on Filter Banks and Riemannian Tangent Space in Motor-Imagery BCI","publication_year":2022,"publication_date":"2022-01-27","ids":{"openalex":"https://openalex.org/W4210245176","doi":"https://doi.org/10.1109/jbhi.2022.3146274","pmid":"https://pubmed.ncbi.nlm.nih.gov/35085095"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3146274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3146274","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-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":null,"display_name":"Hua Fang","orcid":"https://orcid.org/0000-0002-1877-3189"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Fang","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1877-3189","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jing Jin","orcid":"https://orcid.org/0000-0002-6133-5491"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Jin","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6133-5491","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ian Daly","orcid":"https://orcid.org/0000-0001-5489-0393"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ian Daly","raw_affiliation_strings":["Brain-Computer Interfacing and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5489-0393","affiliations":[{"raw_affiliation_string":"Brain-Computer Interfacing and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xingyu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xingyu Wang","raw_affiliation_strings":["Brain-Computer Interfacing and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brain-Computer Interfacing and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K","institution_ids":["https://openalex.org/I110002522"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":7.7706,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.9847135,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"26","issue":"6","first_page":"2504","last_page":"2514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9932000041007996,"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":0.9932000041007996,"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/T10094","display_name":"Epilepsy research and treatment","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/filter","display_name":"Filter (signal processing)","score":0.6485999822616577},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5745999813079834},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5527999997138977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5254999995231628},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4345000088214874},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.42089998722076416},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4092000126838684},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3910999894142151}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6830000281333923},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6485999822616577},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5745999813079834},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5527999997138977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.531499981880188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5254999995231628},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4345000088214874},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.42089998722076416},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4092000126838684},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40049999952316284},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.3767000138759613},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.33660000562667847},{"id":"https://openalex.org/C121475858","wikidata":"https://www.wikidata.org/wiki/Q2735911","display_name":"Spatial filter","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C157157409","wikidata":"https://www.wikidata.org/wiki/Q909601","display_name":"Tangent space","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2980000078678131},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28220000863075256},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2554999887943268},{"id":"https://openalex.org/C78087231","wikidata":"https://www.wikidata.org/wiki/Q5156759","display_name":"Composite image filter","level":3,"score":0.25429999828338623}],"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":"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":"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":"D007092","descriptor_name":"Imagination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007092","descriptor_name":"Imagination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007092","descriptor_name":"Imagination","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":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","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/jbhi.2022.3146274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3146274","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:35085095","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35085095","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":"IEEE journal of biomedical and health informatics","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1474490597","display_name":null,"funder_award_id":"111 Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G158014015","display_name":null,"funder_award_id":"B17017","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G1624550867","display_name":null,"funder_award_id":"19SG25","funder_id":"https://openalex.org/F4320321881","funder_display_name":"Shanghai Municipal Education Commission"},{"id":"https://openalex.org/G3397010727","display_name":null,"funder_award_id":"B17017","funder_id":"https://openalex.org/F4320335785","funder_display_name":"Project 211"},{"id":"https://openalex.org/G4232064594","display_name":null,"funder_award_id":"19SG25","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4330376354","display_name":null,"funder_award_id":"111 Project","funder_id":"https://openalex.org/F4320335785","funder_display_name":"Project 211"},{"id":"https://openalex.org/G4421271618","display_name":null,"funder_award_id":"B17017","funder_id":"https://openalex.org/F4320321881","funder_display_name":"Shanghai Municipal Education Commission"},{"id":"https://openalex.org/G4534278558","display_name":null,"funder_award_id":"B17017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5190105470","display_name":null,"funder_award_id":"19SG25","funder_id":"https://openalex.org/F4320321659","funder_display_name":"Shanghai Education Development Foundation"},{"id":"https://openalex.org/G6349798659","display_name":null,"funder_award_id":"14.756.31.0001","funder_id":"https://openalex.org/F4320321912","funder_display_name":"Ministry of Education and Science of the Russian Federation"},{"id":"https://openalex.org/G7008337000","display_name":null,"funder_award_id":"B17017","funder_id":"https://openalex.org/F4320321659","funder_display_name":"Shanghai Education Development Foundation"},{"id":"https://openalex.org/G7450396792","display_name":null,"funder_award_id":"62176090","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321659","display_name":"Shanghai Education Development Foundation","ror":"https://ror.org/02kq92y46"},{"id":"https://openalex.org/F4320321881","display_name":"Shanghai Municipal Education Commission","ror":"https://ror.org/05tewj457"},{"id":"https://openalex.org/F4320321912","display_name":"Ministry of Education and Science of the Russian Federation","ror":"https://ror.org/00ghqgy32"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335785","display_name":"Project 211","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1493785539","https://openalex.org/W1592510033","https://openalex.org/W1875842236","https://openalex.org/W1947363732","https://openalex.org/W1983496390","https://openalex.org/W1986964250","https://openalex.org/W2032236594","https://openalex.org/W2035715639","https://openalex.org/W2057219090","https://openalex.org/W2066921324","https://openalex.org/W2088226487","https://openalex.org/W2096597330","https://openalex.org/W2111841470","https://openalex.org/W2116022929","https://openalex.org/W2119163516","https://openalex.org/W2149298154","https://openalex.org/W2152863712","https://openalex.org/W2158571299","https://openalex.org/W2549437649","https://openalex.org/W2790114788","https://openalex.org/W2802723950","https://openalex.org/W2883540729","https://openalex.org/W2894943710","https://openalex.org/W2902034646","https://openalex.org/W2913907236","https://openalex.org/W2921618710","https://openalex.org/W2951648764","https://openalex.org/W2952715783","https://openalex.org/W2960585436","https://openalex.org/W2962999323","https://openalex.org/W2963283402","https://openalex.org/W2970520133","https://openalex.org/W2982539212","https://openalex.org/W2986315612","https://openalex.org/W2991224771","https://openalex.org/W2998959557","https://openalex.org/W3000231660","https://openalex.org/W3004986090","https://openalex.org/W3080395176","https://openalex.org/W3082143837","https://openalex.org/W3087480840","https://openalex.org/W6674573684","https://openalex.org/W6679555981","https://openalex.org/W6681700173","https://openalex.org/W6682780409"],"related_works":[],"abstract_inverted_index":{"Optimal":[0],"feature":[1],"extraction":[2],"for":[3],"multi-category":[4,56,137],"motor":[5],"imagery":[6],"brain-computer":[7],"interfaces":[8],"(MI-BCIs)":[9],"is":[10,20,33,51,165],"a":[11,64,128],"research":[12],"hotspot.":[13],"The":[14,152],"common":[15,221],"spatial":[16,108,222],"pattern":[17,223],"(CSP)":[18],"algorithm":[19],"one":[21],"of":[22,49,88,121,161,179,183,192,202,241],"the":[23,39,47,86,91,98,102,107,119,157,177,180,190,199,218,239],"most":[24],"widely":[25],"used":[26],"methods":[27],"in":[28,38,75,90,115,169,226],"MI-BCIs.":[29,242],"However,":[30],"its":[31],"performance":[32,48,191,240],"adversely":[34],"affected":[35],"by":[36,106],"variance":[37,89],"operational":[40,92],"frequency":[41,93],"band":[42],"and":[43,70,150,167,172,186,205],"noise":[44,122],"interference.":[45,123],"Furthermore,":[46],"CSP":[50],"not":[52],"satisfactory":[53],"when":[54],"addressing":[55],"classification":[57,159],"problems.":[58],"In":[59,124],"this":[60],"work,":[61],"we":[62,126,196],"propose":[63],"fusion":[65],"method":[66,100,143,164,211,225,236],"combining":[67],"Filter":[68],"Banks":[69],"Riemannian":[71,99],"Tangent":[72],"Space":[73],"(FBRTS)":[74],"multiple":[76,81],"time":[77,187,206],"windows.":[78,207],"FBRTS":[79,142,163,194,210],"uses":[80],"filter":[82,109,184,203,219],"banks":[83,185,204,220],"to":[84,101,110,117,135],"overcome":[85,118],"problem":[87,120],"band.":[94],"It":[95],"also":[96],"applies":[97],"covariance":[103],"matrix":[104],"extracted":[105],"obtain":[111,213],"more":[112,214],"robust":[113],"features":[114,216],"order":[116],"addition,":[125],"use":[127],"One-Versus-Rest":[129],"support":[130],"vector":[131],"machine":[132],"(OVR-SVM)":[133],"model":[134],"classify":[136],"features.":[138],"We":[139],"evaluate":[140],"our":[141,162,193,209,234],"using":[144],"BCI":[145],"competition":[146],"IV":[147],"dataset":[148],"2a":[149,171],"2b.":[151],"experimental":[153],"results":[154,231],"show":[155,232],"that":[156,233],"average":[158],"accuracy":[160],"77.7%":[166],"86.9%":[168],"datasets":[170],"2b":[173],"respectively.":[174],"By":[175],"analyzing":[176],"influence":[178],"different":[181],"numbers":[182],"windows":[188],"on":[189],"method,":[195],"can":[197,212,237],"identify":[198],"optimal":[200],"number":[201],"Additionally,":[208],"distinctive":[215],"than":[217],"(FBCSP)":[224],"two-dimensional":[227],"embedding":[228],"space.":[229],"These":[230],"proposed":[235],"improve":[238]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":5}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2022-02-08T00:00:00"}
