{"id":"https://openalex.org/W3034845153","doi":"https://doi.org/10.1186/s40708-020-00108-y","title":"Multiclass EEG signal classification utilizing R\u00e9nyi min-entropy-based feature selection from wavelet packet transformation","display_name":"Multiclass EEG signal classification utilizing R\u00e9nyi min-entropy-based feature selection from wavelet packet transformation","publication_year":2020,"publication_date":"2020-06-16","ids":{"openalex":"https://openalex.org/W3034845153","doi":"https://doi.org/10.1186/s40708-020-00108-y","mag":"3034845153","pmid":"https://pubmed.ncbi.nlm.nih.gov/32548772"},"language":"en","primary_location":{"id":"doi:10.1186/s40708-020-00108-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40708-020-00108-y","pdf_url":"https://braininformatics.springeropen.com/track/pdf/10.1186/s40708-020-00108-y","source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4018","issn":["2198-4018","2198-4026"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Brain Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://braininformatics.springeropen.com/track/pdf/10.1186/s40708-020-00108-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009368937","display_name":"Md. Asadur Rahman","orcid":"https://orcid.org/0000-0001-6194-664X"},"institutions":[{"id":"https://openalex.org/I184763120","display_name":"Bangladesh University","ror":"https://ror.org/03zta4r50","country_code":"BD","type":"education","lineage":["https://openalex.org/I184763120"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Md. Asadur Rahman","raw_affiliation_strings":["Department of Biomedical Engineering, Military Institute of Science & Technology (MIST), Mirpur Cantonment, Dhaka, 1216, Bangladesh. bmeasadur@gmail.com","Department of Biomedical Engineering, Military Institute of Science & Technology (MIST), Mirpur Cantonment, Dhaka, 1216, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0001-6194-664X","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Military Institute of Science & Technology (MIST), Mirpur Cantonment, Dhaka, 1216, Bangladesh. bmeasadur@gmail.com","institution_ids":["https://openalex.org/I184763120"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Military Institute of Science & Technology (MIST), Mirpur Cantonment, Dhaka, 1216, Bangladesh","institution_ids":["https://openalex.org/I184763120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001014076","display_name":"Farzana Khanam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Farzana Khanam","raw_affiliation_strings":["Department of Biomedical Engineering, Jashore University of Science and Technology (JUST), Jashore, 7408, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Jashore University of Science and Technology (JUST), Jashore, 7408, Bangladesh","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001354552","display_name":"Mohiuddin Ahmad","orcid":"https://orcid.org/0000-0001-9123-0618"},"institutions":[{"id":"https://openalex.org/I1307585291","display_name":"Khulna University of Engineering and Technology","ror":"https://ror.org/04y58d606","country_code":"BD","type":"education","lineage":["https://openalex.org/I1307585291"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mohiuddin Ahmad","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology (KUET), Khulna, 9203, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0001-9123-0618","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology (KUET), Khulna, 9203, Bangladesh","institution_ids":["https://openalex.org/I1307585291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026120010","display_name":"Mohammad Shorif Uddin","orcid":"https://orcid.org/0000-0002-7184-2809"},"institutions":[{"id":"https://openalex.org/I46080048","display_name":"Jahangirnagar University","ror":"https://ror.org/04ywb0864","country_code":"BD","type":"education","lineage":["https://openalex.org/I46080048"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mohammad Shorif Uddin","raw_affiliation_strings":["Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-7184-2809","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I46080048"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009368937"],"corresponding_institution_ids":["https://openalex.org/I184763120"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":3.8535,"has_fulltext":true,"cited_by_count":71,"citation_normalized_percentile":{"value":0.94379263,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"7","issue":"1","first_page":"7","last_page":"7"},"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":0.9991999864578247,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9962000250816345,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7600705623626709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7217391729354858},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6897151470184326},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6852928996086121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6759728789329529},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6434540152549744},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.634026288986206},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6082223653793335},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5939591526985168},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5168247818946838},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.5009639263153076},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4620515704154968},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.4486517906188965},{"id":"https://openalex.org/keywords/r\u00e9nyi-entropy","display_name":"R\u00e9nyi entropy","score":0.4134722948074341},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.34620559215545654},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.33914244174957275},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33680105209350586},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.12899497151374817}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7600705623626709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7217391729354858},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6897151470184326},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6852928996086121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6759728789329529},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6434540152549744},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.634026288986206},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6082223653793335},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5939591526985168},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5168247818946838},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.5009639263153076},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4620515704154968},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.4486517906188965},{"id":"https://openalex.org/C142611142","wikidata":"https://www.wikidata.org/wiki/Q1433083","display_name":"R\u00e9nyi entropy","level":3,"score":0.4134722948074341},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.34620559215545654},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.33914244174957275},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33680105209350586},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.12899497151374817},{"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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s40708-020-00108-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40708-020-00108-y","pdf_url":"https://braininformatics.springeropen.com/track/pdf/10.1186/s40708-020-00108-y","source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4018","issn":["2198-4018","2198-4026"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Brain Informatics","raw_type":"journal-article"},{"id":"pmid:32548772","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32548772","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":"Brain informatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:c4f7aee3b5694139abbdc2a838454861","is_oa":true,"landing_page_url":"https://doaj.org/article/c4f7aee3b5694139abbdc2a838454861","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Brain Informatics, Vol 7, Iss 1, Pp 1-11 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7297893","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7297893","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Brain Inform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s40708-020-00108-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40708-020-00108-y","pdf_url":"https://braininformatics.springeropen.com/track/pdf/10.1186/s40708-020-00108-y","source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4018","issn":["2198-4018","2198-4026"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Brain Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3034845153.pdf","grobid_xml":"https://content.openalex.org/works/W3034845153.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1491458120","https://openalex.org/W1493312012","https://openalex.org/W1538973122","https://openalex.org/W1643345938","https://openalex.org/W1988988635","https://openalex.org/W2007345898","https://openalex.org/W2022856590","https://openalex.org/W2049058798","https://openalex.org/W2092728879","https://openalex.org/W2097151854","https://openalex.org/W2118093877","https://openalex.org/W2118561568","https://openalex.org/W2122882636","https://openalex.org/W2128909182","https://openalex.org/W2133905940","https://openalex.org/W2156447271","https://openalex.org/W2156504490","https://openalex.org/W2160498763","https://openalex.org/W2164454882","https://openalex.org/W2172206789","https://openalex.org/W2283674586","https://openalex.org/W2396172941","https://openalex.org/W2423195739","https://openalex.org/W2488923700","https://openalex.org/W2511907357","https://openalex.org/W2577520164","https://openalex.org/W2584137332","https://openalex.org/W2607062738","https://openalex.org/W2620509183","https://openalex.org/W2755418557","https://openalex.org/W2755971476","https://openalex.org/W2765787360","https://openalex.org/W2767333869","https://openalex.org/W2767413553","https://openalex.org/W2777525446","https://openalex.org/W2777706547","https://openalex.org/W2883269930","https://openalex.org/W2889435929","https://openalex.org/W2899010197","https://openalex.org/W2899231953","https://openalex.org/W2911642343","https://openalex.org/W2936457811","https://openalex.org/W2938032240","https://openalex.org/W2947006486","https://openalex.org/W2949249259","https://openalex.org/W2960585436","https://openalex.org/W2980096508","https://openalex.org/W2988016651","https://openalex.org/W3105524694"],"related_works":["https://openalex.org/W2041547723","https://openalex.org/W2466816617","https://openalex.org/W2951280790","https://openalex.org/W2385620600","https://openalex.org/W2509725027","https://openalex.org/W2377943613","https://openalex.org/W3177545422","https://openalex.org/W2539367009","https://openalex.org/W1986093435","https://openalex.org/W2978248833"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,14],"novel":[4],"feature":[5,29,48,120,126],"selection":[6,49,127],"method":[7,160],"utilizing":[8],"R\u00e9nyi":[9,79,133],"min-entropy-based":[10,80],"algorithm":[11],"for":[12,28,86,104,118,125,167],"achieving":[13],"highly":[15],"efficient":[16],"brain-computer":[17],"interface":[18],"(BCI).":[19],"Usually,":[20],"wavelet":[21],"packet":[22],"transformation":[23],"(WPT)":[24],"is":[25,102,161],"extensively":[26],"used":[27,65,103,117],"extraction":[30,121],"from":[31,50],"electro-encephalogram":[32],"(EEG)":[33],"signals.":[34],"For":[35],"the":[36,46,51,68,83,114,119,139,158,164],"case":[37],"of":[38,93],"multiple-class":[39,168],"problem,":[40],"classification":[41],"accuracy":[42],"solely":[43],"depends":[44],"on":[45],"effective":[47],"WPT":[52],"features.":[53,69],"In":[54,70],"conventional":[55,84,165],"approaches,":[56],"Shannon":[57,128],"entropy":[58],"and":[59,111,116,132],"mutual":[60,130],"information":[61],"methods":[62,85,135],"are":[63,109,136,147],"often":[64],"to":[66],"select":[67],"this":[71,105],"work,":[72],"we":[73],"have":[74],"shown":[75],"that":[76,157],"our":[77],"proposed":[78,159],"approach":[81],"outperforms":[82],"multiple":[87],"EEG":[88,100,145],"signal":[89],"classification.":[90],"The":[91,107,154],"dataset":[92],"BCI":[94],"competition-IV":[95],"(contains":[96],"4-class":[97],"motor":[98,143],"imagery":[99,144],"signal)":[101],"experiment.":[106],"data":[108],"preprocessed":[110],"separated":[112],"as":[113],"classes":[115],"using":[122,149],"WPT.":[123],"Then,":[124],"entropy,":[129],"information,":[131],"min-entropy":[134],"applied.":[137],"With":[138],"selected":[140],"features,":[141],"four-class":[142],"signals":[146],"classified":[148],"several":[150],"machine":[151],"learning":[152],"algorithms.":[153],"results":[155],"suggest":[156],"better":[162],"than":[163],"approaches":[166],"BCI.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}