{"id":"https://openalex.org/W4312732529","doi":"https://doi.org/10.1109/tcds.2022.3214081","title":"Electroencephalogram-Based Motor Imagery Brain\u2013Computer Interface Using Multivariate Iterative Filtering and Spatial Filtering","display_name":"Electroencephalogram-Based Motor Imagery Brain\u2013Computer Interface Using Multivariate Iterative Filtering and Spatial Filtering","publication_year":2022,"publication_date":"2022-10-14","ids":{"openalex":"https://openalex.org/W4312732529","doi":"https://doi.org/10.1109/tcds.2022.3214081"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2022.3214081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2022.3214081","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Transactions on Cognitive and Developmental Systems","raw_type":"journal-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/A5015007987","display_name":"Kritiprasanna Das","orcid":"https://orcid.org/0000-0001-6920-4763"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kritiprasanna Das","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India"],"raw_orcid":"https://orcid.org/0000-0001-6920-4763","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030314469","display_name":"Ram Bilas Pachori","orcid":"https://orcid.org/0000-0002-6061-4309"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ram Bilas Pachori","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India"],"raw_orcid":"https://orcid.org/0000-0002-6061-4309","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015007987"],"corresponding_institution_ids":["https://openalex.org/I64295750"],"apc_list":null,"apc_paid":null,"fwci":5.4157,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.96880881,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"15","issue":"3","first_page":"1408","last_page":"1418"},"is_retracted":false,"is_paratext":false,"is_xpac":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/T11447","display_name":"Blind Source Separation Techniques","score":0.9980999827384949,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9824000000953674,"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/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.8521600961685181},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.8355790972709656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7776526212692261},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7386476993560791},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7049006223678589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6658684015274048},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6640651822090149},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5765084028244019},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4594299793243408},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.368896484375},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.3584910035133362},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2156991958618164}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8521600961685181},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.8355790972709656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7776526212692261},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7386476993560791},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7049006223678589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6658684015274048},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6640651822090149},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5765084028244019},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4594299793243408},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.368896484375},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.3584910035133362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2156991958618164},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2022.3214081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2022.3214081","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1510056001","https://openalex.org/W1965769973","https://openalex.org/W1971509683","https://openalex.org/W1986261878","https://openalex.org/W1989940636","https://openalex.org/W2000982976","https://openalex.org/W2001619934","https://openalex.org/W2007221293","https://openalex.org/W2043495338","https://openalex.org/W2053965919","https://openalex.org/W2057219090","https://openalex.org/W2099509424","https://openalex.org/W2103032521","https://openalex.org/W2105598175","https://openalex.org/W2116308679","https://openalex.org/W2120390927","https://openalex.org/W2123563890","https://openalex.org/W2128495200","https://openalex.org/W2132360759","https://openalex.org/W2142280324","https://openalex.org/W2171882657","https://openalex.org/W2488923700","https://openalex.org/W2756928350","https://openalex.org/W2767333869","https://openalex.org/W2808098316","https://openalex.org/W2885096730","https://openalex.org/W2942101380","https://openalex.org/W2948669902","https://openalex.org/W2951108876","https://openalex.org/W2954548903","https://openalex.org/W2958872067","https://openalex.org/W2960585436","https://openalex.org/W2963396373","https://openalex.org/W2991183506","https://openalex.org/W3080395176","https://openalex.org/W3127935830","https://openalex.org/W3136073903","https://openalex.org/W3164305153","https://openalex.org/W3174166874","https://openalex.org/W3207696354","https://openalex.org/W4230797216","https://openalex.org/W4282838647"],"related_works":["https://openalex.org/W131149161","https://openalex.org/W2109774900","https://openalex.org/W1650914880","https://openalex.org/W2996870312","https://openalex.org/W2146076056","https://openalex.org/W2559662595","https://openalex.org/W2518353564","https://openalex.org/W2076654769","https://openalex.org/W2293517516","https://openalex.org/W2900418517"],"abstract_inverted_index":{"In":[0],"motor":[1],"imagery":[2],"(MI)-based":[3],"brain\u2013computer":[4],"interface":[5],"(BCI),":[6],"common":[7],"spatial":[8],"pattern":[9],"(CSP)":[10],"is":[11,138,146,190],"most":[12,42,130],"popularly":[13],"used":[14,102,147],"for":[15,103,133,155,194],"discriminant":[16,104,142],"feature":[17,105],"extraction.":[18,106],"However,":[19],"the":[20,26,44,70,109,126],"performance":[21,186],"of":[22,43,59,81,129],"CSP":[23,87],"depends":[24],"on":[25,96],"operational":[27],"frequency":[28,39,60,93],"bands,":[29],"which":[30,98,118,134],"are":[31,120,166],"selected":[32],"manually":[33],"or":[34,53],"set":[35,160],"to":[36,49,51,56,89,148],"a":[37,76,191],"broad":[38],"range":[40],"in":[41],"previously":[45],"developed":[46],"applications.":[47],"Due":[48],"subject":[50,52],"even":[54],"trial":[55,57],"variability":[58],"band":[61],"affected":[62],"by":[63],"MI":[64,151,172,195],"task,":[65],"these":[66],"methods":[67],"suffer":[68],"from":[69,117],"poor":[71],"performance.":[72],"We":[73,124],"have":[74],"proposed":[75,174],"novel":[77],"approach,":[78],"using":[79,122],"combination":[80],"multivariate":[82,113],"iterative":[83],"filtering":[84],"(MIF)":[85],"and":[86,162,179],"(MIFCSP),":[88],"automatically":[90],"select":[91,125],"optimal":[92],"bands":[94],"based":[95],"MIF":[97,107],"can":[99],"be":[100],"further":[101],"decomposes":[108],"signal":[110],"into":[111],"several":[112],"intrinsic":[114],"mode":[115],"functions,":[116],"features":[119,132],"extracted":[121],"CSP.":[123],"minimum":[127],"number":[128],"significant":[131],"highest":[135],"classification":[136,185],"accuracy":[137],"achieved.":[139],"Subsequently,":[140],"linear":[141],"analysis":[143],"(LDA)":[144],"classifier":[145],"classify":[149],"different":[150],"tasks.":[152],"Experimental":[153],"results":[154],"BCI":[156,163,196],"competition":[157,164],"IV":[158],"data":[159],"2a":[161],"III-IIIa":[165],"presented.":[167],"For":[168],"left-hand":[169],"versus":[170],"right-hand":[171],"classification,":[173],"MIFCSP":[175,189],"method":[176],"provides":[177],"83.18%":[178],"84.44%":[180],"average":[181],"accuracy,":[182],"respectively.":[183],"Superior":[184],"confirms":[187],"that":[188],"promising":[192],"candidate":[193],"application.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":18}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}