{"id":"https://openalex.org/W3155429058","doi":"https://doi.org/10.1109/bci51272.2021.9385321","title":"Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface","display_name":"Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface","publication_year":2021,"publication_date":"2021-02-22","ids":{"openalex":"https://openalex.org/W3155429058","doi":"https://doi.org/10.1109/bci51272.2021.9385321","mag":"3155429058"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bci51272.2021.9385321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5081246791","display_name":"Minkyung Jung","orcid":"https://orcid.org/0000-0003-1515-5913"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"funder","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Min-Kyung Jung","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000341704","display_name":"Seho Lee","orcid":"https://orcid.org/0000-0001-7125-6271"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"funder","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seho Lee","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008004104","display_name":"In-Nea Wang","orcid":"https://orcid.org/0000-0002-5427-9129"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"funder","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"In-Nea Wang","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088219595","display_name":"Ha-Yoon Song","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"funder","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ha-Yoon Song","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009302215","display_name":"Hakseung Kim","orcid":"https://orcid.org/0000-0001-5407-293X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"funder","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hakseung Kim","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101947623","display_name":"Dong\u2010Joo Kim","orcid":"https://orcid.org/0000-0002-0988-2236"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"funder","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Joo Kim","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.327,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.592379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":71,"max":75},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9945,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9924,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor Imagery","score":0.88699794},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.48065174}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.91500294},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.88699794},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7283513},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5774688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5642903},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.48065174},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.46032208},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40113625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38510275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3395812},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32225433},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.18127367},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.091042936},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bci51272.2021.9385321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea","award_id":"2019R1A2C1003399,2020R1C1C1006773"}],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1863223604","https://openalex.org/W1970810079","https://openalex.org/W1973168969","https://openalex.org/W1974870935","https://openalex.org/W1995579827","https://openalex.org/W2034978228","https://openalex.org/W2059517562","https://openalex.org/W2076151856","https://openalex.org/W2100741386","https://openalex.org/W2109858853","https://openalex.org/W2120847449","https://openalex.org/W2128495200","https://openalex.org/W2181785117","https://openalex.org/W2509948470","https://openalex.org/W2518108298","https://openalex.org/W2963263347","https://openalex.org/W3102455230"],"related_works":["https://openalex.org/W3045772920","https://openalex.org/W2947925238","https://openalex.org/W2887556756","https://openalex.org/W2510077457","https://openalex.org/W2047816336","https://openalex.org/W1984377984","https://openalex.org/W1977940006","https://openalex.org/W1961545574","https://openalex.org/W195417223","https://openalex.org/W1513407214"],"abstract_inverted_index":{"A":[0],"electroencephalography":[1],"(EEG)":[2],"based":[3],"braincomputer":[4],"interface":[5],"(BCI)":[6],"provides":[7],"a":[8,87],"communication":[9],"channel":[10,111],"to":[11,44,99],"operate":[12],"the":[13,67,128,154],"external":[14],"environment":[15],"by":[16,48,74,147],"decoding":[17],"brain":[18,123],"patterns.":[19],"Movement-Related":[20],"Cortical":[21],"Potentials":[22],"(MRCPs)":[23],"are":[24],"one":[25],"particular":[26],"type":[27],"of":[28,33,38,46,69,134,143],"EEG":[29],"pattern":[30,45],"during":[31],"movement":[32],"peripheral":[34],"limbs.":[35],"The":[36,79,122,141],"performance":[37,61,94,142],"motor":[39],"imagery":[40],"(MI)":[41],"is":[42,91],"related":[43],"MRCPs":[47],"planning":[49],"simulation.":[50],"In":[51,64],"resent":[52],"decade,":[53],"MI-based":[54],"BCI":[55],"have":[56],"shown":[57],"potential":[58],"as":[59],"its":[60],"significantly":[62],"improved.":[63],"this":[65],"study,":[66],"feasibility":[68],"selected-based":[70],"method":[71],"was":[72,125,145],"proposed":[73],"compared":[75,98],"with":[76,150],"conventional":[77],"method.":[78],"detection":[80],"accuracy":[81],"overall":[82,93],"performances":[83],"were":[84,103],"72.42\u00b13.12%.":[85],"When":[86,101],"top":[88],"97.8%":[89],"trial":[90],"selected,":[92],"improved":[95,146],"approximately":[96],"3.15%":[97],"baseline.":[100],"MI":[102],"analyzed":[104],"in":[105,116,138],"non-selected":[106],"trials,":[107],"C3":[108],"and":[109,118,131,157],"C4":[110],"showed":[112],"no":[113,151],"different":[114],"aspects":[115],"left":[117],"right":[119],"class":[120],"respectively.":[121],"state":[124,155],"changed":[126],"after":[127,158],"cue":[129],"appeared,":[130],"these":[132],"power":[133],"delta":[135],"band":[136],"appeared":[137],"all":[139],"subjects.":[140],"classification":[144],"rejecting":[148],"trials":[149],"difference":[152],"between":[153],"before":[156],"cue.":[159]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3155429058","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-04-20T23:47:55.504755","created_date":"2021-04-26"}