{"id":"https://openalex.org/W2911403442","doi":"https://doi.org/10.1142/s0218001419590304","title":"EEG Signal Processing Based on Multivariate Empirical Mode Decomposition and Common Spatial Pattern Hybrid Algorithm","display_name":"EEG Signal Processing Based on Multivariate Empirical Mode Decomposition and Common Spatial Pattern Hybrid Algorithm","publication_year":2019,"publication_date":"2019-01-28","ids":{"openalex":"https://openalex.org/W2911403442","doi":"https://doi.org/10.1142/s0218001419590304","mag":"2911403442"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001419590304","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419590304","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5102325484","display_name":"Linyan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linyan Wu","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Ji\u2019nan 250100, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Ji\u2019nan 250100, P. R. China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453408","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0001-7219-8536"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Ji\u2019nan 250100, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Ji\u2019nan 250100, P. R. China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049178041","display_name":"Qi Wang","orcid":"https://orcid.org/0009-0002-9931-6816"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Ji\u2019nan 250100, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Ji\u2019nan 250100, P. R. China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046744673","display_name":"Qing Zhu","orcid":"https://orcid.org/0000-0002-0485-4965"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zhu","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Ji\u2019nan 250100, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Ji\u2019nan 250100, P. R. China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031017976","display_name":"Jinhuan Chen","orcid":"https://orcid.org/0000-0001-7223-3215"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhuan Chen","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Ji\u2019nan 250100, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Ji\u2019nan 250100, P. R. China","institution_ids":["https://openalex.org/I44445938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102325484"],"corresponding_institution_ids":["https://openalex.org/I44445938"],"apc_list":null,"apc_paid":null,"fwci":0.3648,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.5693613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"33","issue":"09","first_page":"1959030","last_page":"1959030"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9828000068664551,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9451000094413757,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.7063000202178955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7040914297103882},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.6765424609184265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.613369345664978},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5560358762741089},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.5146380662918091},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4810050427913666},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.47899672389030457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47857359051704407},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.4780502915382385},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4563484787940979},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4370945692062378},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.43421271443367004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20924979448318481},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16866031289100647},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15419980883598328},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.10514852404594421}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7063000202178955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7040914297103882},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.6765424609184265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.613369345664978},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5560358762741089},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.5146380662918091},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4810050427913666},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.47899672389030457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47857359051704407},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.4780502915382385},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4563484787940979},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4370945692062378},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.43421271443367004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20924979448318481},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16866031289100647},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15419980883598328},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.10514852404594421},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001419590304","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419590304","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1965969360","https://openalex.org/W1970876195","https://openalex.org/W2022432668","https://openalex.org/W2026255552","https://openalex.org/W2030102422","https://openalex.org/W2097571405","https://openalex.org/W2123563890","https://openalex.org/W2126105956","https://openalex.org/W2135378997","https://openalex.org/W2153912116","https://openalex.org/W2156832349","https://openalex.org/W2163636807","https://openalex.org/W2347201682","https://openalex.org/W2511907357","https://openalex.org/W2543941808","https://openalex.org/W2575731156","https://openalex.org/W3141408015"],"related_works":["https://openalex.org/W1977940006","https://openalex.org/W2510077457","https://openalex.org/W2947925238","https://openalex.org/W2887556756","https://openalex.org/W195417223","https://openalex.org/W2951110009","https://openalex.org/W1513407214","https://openalex.org/W1984377984","https://openalex.org/W3045772920","https://openalex.org/W1961545574"],"abstract_inverted_index":{"The":[0,73,129],"high":[1,77],"accuracy":[2],"of":[3,15,27,136,147],"electroencephalogram":[4],"(EEG)":[5],"signal":[6],"classification":[7,97,114],"is":[8,38,98,140],"the":[9,12,55,106,122,126,134,137],"premise":[10],"for":[11],"wide":[13],"application":[14],"brain":[16],"computer":[17],"interface":[18],"(BCI).":[19],"In":[20],"this":[21],"paper,":[22],"a":[23],"hybrid":[24],"method":[25],"consisting":[26],"multivariate":[28],"empirical":[29],"mode":[30,68],"decomposition":[31],"(MEMD)":[32],"and":[33,43,83,86],"common":[34],"space":[35],"pattern":[36],"(CSP)":[37],"proposed":[39,123,138],"to":[40,142],"recognize":[41],"left-hand":[42],"right-hand":[44],"hypothetical":[45],"motion":[46],"from":[47],"EEG":[48,61],"signals.":[49],"Experiments":[50],"were":[51,63,79,89],"carried":[52,99],"out":[53],"using":[54],"BCI":[56],"competition":[57],"II":[58],"imagery":[59],"database.":[60],"signals":[62],"decomposed":[64],"into":[65],"multiple":[66],"intrinsic":[67],"functions":[69,75],"(IMFs)":[70],"by":[71,81],"MEMD.":[72],"IMF":[74],"with":[76,125],"correlation":[78],"processed":[80],"CSP,":[82],"AR":[84],"coefficients":[85],"entropy":[87],"values":[88],"extracted":[90],"as":[91,111],"features.":[92],"After":[93],"genetic":[94],"algorithm":[95,124,139],"optimization,":[96],"out.":[100],"Our":[101],"research":[102],"results":[103,131],"show":[104,132],"that":[105,133,146],"K":[107],"nearest":[108],"neighbor":[109],"(KNN)":[110],"an":[112],"optimal":[113],"model":[115],"produces":[116],"85.36%":[117],"accuracy.":[118],"We":[119],"also":[120],"compare":[121],"existing":[127,149],"algorithms.":[128,150],"experimental":[130],"performance":[135],"comparable":[141],"or":[143],"better":[144],"than":[145],"many":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}