{"id":"https://openalex.org/W4205386513","doi":"https://doi.org/10.1109/jbhi.2022.3140531","title":"Transformer Model for Functional Near-Infrared Spectroscopy Classification","display_name":"Transformer Model for Functional Near-Infrared Spectroscopy Classification","publication_year":2022,"publication_date":"2022-01-05","ids":{"openalex":"https://openalex.org/W4205386513","doi":"https://doi.org/10.1109/jbhi.2022.3140531","pmid":"https://pubmed.ncbi.nlm.nih.gov/34986110"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3140531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3140531","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":"Zenghui Wang","orcid":"https://orcid.org/0000-0002-0803-6206"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenghui Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Electrical Engineering and Automation, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-0803-6206","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Electrical Engineering and Automation, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0002-5985-8023"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Electrical Engineering and Automation, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5985-8023","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Electrical Engineering and Automation, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaochu Zhang","orcid":"https://orcid.org/0000-0002-7541-0130"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochu Zhang","raw_affiliation_strings":["Department of Psychology, School of Humanities and Social Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7541-0130","affiliations":[{"raw_affiliation_string":"Department of Psychology, School of Humanities and Social Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Chen","raw_affiliation_strings":["National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, School of Internet, and Institutes of Physical Science and Information Technology, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, School of Internet, and Institutes of Physical Science and Information Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":null,"display_name":"Bing Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Wang","raw_affiliation_strings":["School of Electrical and Information Engineering, Anhui University of Technology, Maanshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Anhui University of Technology, Maanshan, China","institution_ids":["https://openalex.org/I92178344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.061,"has_fulltext":false,"cited_by_count":107,"citation_normalized_percentile":{"value":0.99360897,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"26","issue":"6","first_page":"2559","last_page":"2569"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9362000226974487,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9362000226974487,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.047600001096725464,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.003100000089034438,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6559000015258789},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5612000226974487},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5281000137329102},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46880000829696655},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.46050000190734863},{"id":"https://openalex.org/keywords/functional-near-infrared-spectroscopy","display_name":"Functional near-infrared spectroscopy","score":0.4438999891281128},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42239999771118164},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4214000105857849},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3887999951839447},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.3817000091075897}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7875999808311462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7005000114440918},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6559000015258789},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5612000226974487},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5281000137329102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4772000014781952},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46880000829696655},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.46050000190734863},{"id":"https://openalex.org/C130796691","wikidata":"https://www.wikidata.org/wiki/Q750537","display_name":"Functional near-infrared spectroscopy","level":4,"score":0.4438999891281128},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42239999771118164},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4214000105857849},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3887999951839447},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.32249999046325684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3167000114917755},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.3093999922275543},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3068999946117401},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.29919999837875366},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.2838999927043915},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.27950000762939453},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.2766000032424927},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.26899999380111694},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2680000066757202},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.26339998841285706}],"mesh":[{"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":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019265","descriptor_name":"Spectroscopy, Near-Infrared","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019265","descriptor_name":"Spectroscopy, Near-Infrared","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019265","descriptor_name":"Spectroscopy, Near-Infrared","qualifier_ui":"Q000379","qualifier_name":"methods","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},{"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.2022.3140531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3140531","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:34986110","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34986110","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":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1365315517","display_name":null,"funder_award_id":"62172004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3261462448","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u8d28\u8c31\u5e93\u9ad8\u901f\u641c\u7d22\u6280\u672f\u7814\u7a76","funder_award_id":"61872004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6497873955","display_name":"\u5206\u5b50\u7ed3\u6784\u6df1\u5ea6\u5d4c\u5165\u5b66\u4e60\u53ca\u836f\u7269\u9776\u6807\u4e92\u4f5c\u9884\u6d4b\u7814\u7a76","funder_award_id":"62072002","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1967512849","https://openalex.org/W1975638031","https://openalex.org/W1977083231","https://openalex.org/W1991550546","https://openalex.org/W1999667678","https://openalex.org/W2000052799","https://openalex.org/W2010872261","https://openalex.org/W2045561515","https://openalex.org/W2053356496","https://openalex.org/W2064675550","https://openalex.org/W2082645024","https://openalex.org/W2090793463","https://openalex.org/W2103608787","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2317615753","https://openalex.org/W2334565808","https://openalex.org/W2552578398","https://openalex.org/W2562059846","https://openalex.org/W2755510477","https://openalex.org/W2792881371","https://openalex.org/W2963446712","https://openalex.org/W2971075653","https://openalex.org/W2994384968","https://openalex.org/W2996553713","https://openalex.org/W3037312461","https://openalex.org/W3062839060","https://openalex.org/W3092169073","https://openalex.org/W3109833558","https://openalex.org/W4214493665","https://openalex.org/W6632995402","https://openalex.org/W6684191040","https://openalex.org/W6726497184","https://openalex.org/W6739901393","https://openalex.org/W6754905691","https://openalex.org/W6755207826","https://openalex.org/W6755977528","https://openalex.org/W6757817989","https://openalex.org/W6774637898","https://openalex.org/W6778883912","https://openalex.org/W6780226713","https://openalex.org/W6784333009","https://openalex.org/W6797790494"],"related_works":[],"abstract_inverted_index":{"Functional":[0],"near-infrared":[1],"spectroscopy":[2],"(fNIRS)":[3],"is":[4,85,165],"a":[5,73,203],"promising":[6],"neuroimaging":[7],"technology.":[8],"The":[9],"fNIRS":[10,46,62],"classification":[11,47,136,187],"problem":[12],"has":[13],"always":[14],"been":[15],"the":[16,19,25,34,56,119,123,132,180,185,221,225],"focus":[17],"of":[18,27,36,61,78,93,144,184,195,206,227],"brain-computer":[20],"interface":[21],"(BCI).":[22],"Inspired":[23],"by":[24,202],"success":[26],"Transformer":[28],"based":[29,49],"on":[30,50,126,156],"self-attention":[31],"mechanism":[32],"in":[33,131],"fields":[35],"natural":[37],"language":[38],"processing":[39],"and":[40,58,68,82,90,114,149,154,173,197,200,208],"computer":[41],"vision,":[42],"we":[43],"propose":[44],"an":[45,99,191],"network":[48,69,112],"Transformer,":[51],"named":[52],"fNIRS-T.":[53,219],"We":[54],"explore":[55],"spatial-level":[57],"channel-level":[59],"representation":[60,70],"signals":[63],"to":[64,87,161,218],"improve":[65,224],"data":[66,94,213],"utilization":[67],"capacity.":[71],"Besides,":[72],"preprocessing":[74],"module,":[75],"which":[76],"consists":[77],"one-dimensional":[79],"average":[80,192],"pooling":[81],"layer":[83],"normalization,":[84],"designed":[86],"replace":[88],"filtering":[89],"baseline":[91],"correction":[92],"preprocessing.":[95],"It":[96],"makes":[97],"fNIRS-T":[98,164,189],"end-to-end":[100],"network,":[101],"called":[102],"fNIRS-PreT.":[103],"Compared":[104,160],"with":[105],"traditional":[106,162],"machine":[107],"learning":[108],"classifiers,":[109,163],"convolutional":[110],"neural":[111],"(CNN),":[113],"long":[115],"short-term":[116],"memory":[117],"(LSTM),":[118],"proposed":[120,222],"models":[121,223],"obtain":[122,151],"best":[124],"accuracy":[125,194],"three":[127,142],"open-access":[128],"datasets.":[129],"Specifically,":[130],"most":[133],"extensive":[134],"ternary":[135,186],"task":[137],"(30":[138],"subjects)":[139],"that":[140],"includes":[141],"types":[143],"overt":[145],"movements,":[146],"fNIRS-T,":[147],"CNN,":[148],"LSTM":[150,201],"75.49%,":[152],"72.89%,":[153],"61.94%":[155],"test":[157],"sets,":[158],"respectively.":[159],"at":[166],"least":[167],"27.41%":[168],"higher":[169,175],"than":[170,176],"statistical":[171],"features":[172],"6.79%":[174],"well-designed":[177],"features.":[178],"In":[179],"individual":[181],"subject":[182,193],"experiment":[183],"task,":[188],"achieves":[190,215],"78.22%":[196],"surpasses":[198],"CNN":[199],"large":[204],"margin":[205],"+4.75%":[207],"+11.33%.":[209],"fNIRS-PreT":[210],"using":[211],"raw":[212],"also":[214],"competitive":[216],"performance":[217,226],"Therefore,":[220],"fNIRS-based":[228],"BCI":[229],"significantly.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":46},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2022-01-26T00:00:00"}
