{"id":"https://openalex.org/W2539303783","doi":"https://doi.org/10.1109/cibci.2014.7007785","title":"Across-subject estimation of 3-back task performance using EEG signals","display_name":"Across-subject estimation of 3-back task performance using EEG signals","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2539303783","doi":"https://doi.org/10.1109/cibci.2014.7007785","mag":"2539303783"},"language":"en","primary_location":{"id":"doi:10.1109/cibci.2014.7007785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibci.2014.7007785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Symposium on Computational Intelligence in Brain Computer Interfaces (CIBCI)","raw_type":"proceedings-article"},"type":"article","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/A5100390281","display_name":"Jinsoo Kim","orcid":"https://orcid.org/0000-0003-3062-1732"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinsoo Kim","raw_affiliation_strings":["Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089884610","display_name":"Min\u2010Ki Kim","orcid":"https://orcid.org/0000-0002-1885-291X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Min-Ki Kim","raw_affiliation_strings":["Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073529866","display_name":"Christian Wallraven","orcid":"https://orcid.org/0000-0002-2604-9115"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Christian Wallraven","raw_affiliation_strings":["Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000135103","display_name":"Sung-Phil Kim","orcid":"https://orcid.org/0000-0001-6665-3475"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Phil Kim","raw_affiliation_strings":["Department of Human and Systems Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Human and Systems Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I48566637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.23475623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9821000099182129,"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":0.6886543035507202},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6716747879981995},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6284323334693909},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5904651284217834},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5724611282348633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5170160531997681},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4776255488395691},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46391525864601135},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4627518653869629},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4315994083881378},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3712795376777649},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2086416780948639},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1003863513469696},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08630296587944031}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6886543035507202},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6716747879981995},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6284323334693909},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5904651284217834},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5724611282348633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5170160531997681},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4776255488395691},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46391525864601135},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4627518653869629},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4315994083881378},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3712795376777649},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2086416780948639},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1003863513469696},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08630296587944031},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cibci.2014.7007785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibci.2014.7007785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Symposium on Computational Intelligence in Brain Computer Interfaces (CIBCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/46904","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7007785","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"CONFERENCE"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W55018851","https://openalex.org/W1989666886","https://openalex.org/W2014945035","https://openalex.org/W2023133322","https://openalex.org/W2026292399","https://openalex.org/W2033664463","https://openalex.org/W2061201048","https://openalex.org/W2080209737","https://openalex.org/W2087590333","https://openalex.org/W2087846093","https://openalex.org/W2093717447","https://openalex.org/W2100128988","https://openalex.org/W2111107118","https://openalex.org/W2118114225","https://openalex.org/W2122311608","https://openalex.org/W2128945905","https://openalex.org/W2140285303","https://openalex.org/W2148834573","https://openalex.org/W2158441306","https://openalex.org/W2160815625","https://openalex.org/W2912934387","https://openalex.org/W3004732066","https://openalex.org/W4212883601","https://openalex.org/W6602235344","https://openalex.org/W6656096009","https://openalex.org/W6683036876"],"related_works":["https://openalex.org/W2236178445","https://openalex.org/W2010456997","https://openalex.org/W2309273277","https://openalex.org/W2061937230","https://openalex.org/W1574295218","https://openalex.org/W2547793174","https://openalex.org/W2070212102","https://openalex.org/W2132658536","https://openalex.org/W2544241817","https://openalex.org/W2158882055"],"abstract_inverted_index":{"This":[0],"study":[1],"was":[2,40],"aimed":[3],"at":[4],"estimating":[5],"subjects'":[6],"3-back":[7],"working":[8],"memory":[9],"task":[10,33,66],"error":[11,34,67],"rate":[12,68],"using":[13],"electroencephalogram":[14],"(EEG)":[15],"signals.":[16],"Firstly,":[17],"spatio-temporal":[18],"band":[19],"power":[20],"features":[21],"were":[22,47,72],"selected":[23],"based":[24],"on":[25,57],"statistical":[26],"significance":[27],"of":[28,69],"across-subject":[29],"correlation":[30],"with":[31],"the":[32,85],"rate.":[35],"Method-wise,":[36],"ensemble":[37],"network":[38],"model":[39,87],"adopted":[41],"where":[42],"multiple":[43],"artificial":[44],"neural":[45],"networks":[46],"trained":[48],"independently":[49],"and":[50],"produced":[51],"separate":[52],"estimates":[53,92],"to":[54,59],"be":[55],"later":[56],"aggregated":[58],"form":[60],"a":[61,75,80],"single":[62],"estimated":[63,73],"value.":[64],"The":[65],"all":[70],"subjects":[71],"in":[74],"leave-one-out":[76],"cross-validation":[77],"scheme.":[78],"While":[79],"simple":[81],"linear":[82],"method":[83],"underperformed,":[84],"proposed":[86],"successfully":[88],"obtained":[89],"highly":[90],"accurate":[91],"despite":[93],"being":[94],"restrained":[95],"by":[96],"very":[97],"small":[98],"sample":[99],"size.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}