{"id":"https://openalex.org/W4414757900","doi":"https://doi.org/10.1109/tcds.2025.3617080","title":"Grouped Successive Multivariate Variational Mode Decomposition With Application to EEG Signal Processing and Connectivity Analysis","display_name":"Grouped Successive Multivariate Variational Mode Decomposition With Application to EEG Signal Processing and Connectivity Analysis","publication_year":2025,"publication_date":"2025-10-02","ids":{"openalex":"https://openalex.org/W4414757900","doi":"https://doi.org/10.1109/tcds.2025.3617080"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2025.3617080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2025.3617080","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/A5090693707","display_name":"Duanpo Wu","orcid":"https://orcid.org/0000-0001-6954-6587"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Duanpo Wu","raw_affiliation_strings":["School of Communication Engineering and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, China","School of Communication Engineering and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0001-6954-6587","affiliations":[{"raw_affiliation_string":"School of Communication Engineering and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Communication Engineering and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042205717","display_name":"Shuchang Zhang","orcid":"https://orcid.org/0009-0001-2464-1270"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuchang Zhang","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-2464-1270","affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuhan Gao","orcid":"https://orcid.org/0000-0002-7777-3613"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Gao","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7777-3613","affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040723880","display_name":"Danping Wang","orcid":"https://orcid.org/0000-0002-9094-6929"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danping Wang","raw_affiliation_strings":["Machine Learning and I-Health International Cooperation Base of Zhejiang Province, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9094-6929","affiliations":[{"raw_affiliation_string":"Machine Learning and I-Health International Cooperation Base of Zhejiang Province, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058788603","display_name":"Tiejia Jiang","orcid":"https://orcid.org/0000-0003-3688-8366"},"institutions":[{"id":"https://openalex.org/I4210113495","display_name":"Children's Hospital of Zhejiang University","ror":"https://ror.org/025fyfd20","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210113495"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejia Jiang","raw_affiliation_strings":["Children&#x2019;s Hospital, Zhejiang University School of Medicine, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3688-8366","affiliations":[{"raw_affiliation_string":"Children&#x2019;s Hospital, Zhejiang University School of Medicine, Hangzhou, China","institution_ids":["https://openalex.org/I4210113495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051364619","display_name":"Pierre Vidal","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pierre-Paul Vidal","raw_affiliation_strings":["Machine Learning and I-Health International Cooperation Base of Zhejiang Province, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7158-5742","affiliations":[{"raw_affiliation_string":"Machine Learning and I-Health International Cooperation Base of Zhejiang Province, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jiuwen Cao","orcid":"https://orcid.org/0000-0002-6480-5794"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuwen Cao","raw_affiliation_strings":["Machine Learning and I-Health International Cooperation Base of Zhejiang Province, Hangzhou Dianzi University, Zhejiang, China","Machine Learning and I-health International Cooperation Base of Zhejiang Province, Hangzhou Dianzi University, China"],"raw_orcid":"https://orcid.org/0000-0002-6480-5794","affiliations":[{"raw_affiliation_string":"Machine Learning and I-Health International Cooperation Base of Zhejiang Province, Hangzhou Dianzi University, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"Machine Learning and I-health International Cooperation Base of Zhejiang Province, Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5090693707"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32525673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"2","first_page":"556","last_page":"571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.968999981880188,"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"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.968999981880188,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9606000185012817,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9445000290870667,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.6525999903678894},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6032000184059143},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.59170001745224},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5598999857902527},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.525600016117096},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5184999704360962},{"id":"https://openalex.org/keywords/decomposition-method","display_name":"Decomposition method (queueing theory)","score":0.4300000071525574},{"id":"https://openalex.org/keywords/multidimensional-signal-processing","display_name":"Multidimensional signal processing","score":0.3885999917984009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837999820709229},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.6525999903678894},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6032000184059143},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.59170001745224},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5630999803543091},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5598999857902527},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.525600016117096},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5184999704360962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46560001373291016},{"id":"https://openalex.org/C2778258933","wikidata":"https://www.wikidata.org/wiki/Q16918986","display_name":"Decomposition method (queueing theory)","level":2,"score":0.4300000071525574},{"id":"https://openalex.org/C501101116","wikidata":"https://www.wikidata.org/wiki/Q18378116","display_name":"Multidimensional signal processing","level":4,"score":0.3885999917984009},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.3790000081062317},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3483999967575073},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.3418000042438507},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.28700000047683716},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.2775000035762787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25929999351501465},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.2581999897956848},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2025.3617080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2025.3617080","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":[],"awards":[{"id":"https://openalex.org/G2083559341","display_name":null,"funder_award_id":"2024YFE0216400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3819846786","display_name":null,"funder_award_id":"62301203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"traditional":[1],"multivariate":[2],"signal":[3,10,37],"decomposition":[4],"algorithm":[5,66],"presumes":[6],"that":[7],"the":[8,18,65,83,103,107,116,137,140,155],"multi-channel":[9,36,128],"has":[11],"co-frequency":[12],"components.":[13],"However,":[14],"in":[15],"real":[16],"signals,":[17],"frequencies":[19],"of":[20,86,120,139,149],"these":[21],"components":[22],"are":[23],"not":[24],"precisely":[25],"aligned":[26],"and":[27,89,106,143],"exhibit":[28],"some":[29],"differences.":[30],"This":[31],"paper":[32],"introduces":[33],"a":[34,50,95,145,161],"novel":[35],"processing":[38],"algorithm,":[39,142],"termed":[40],"Grouped":[41,146],"Successive":[42],"Multivariate":[43],"Variational":[44,77],"Mode":[45,78],"Decomposition":[46,79],"(GSMVMD).":[47],"GSMVMD":[48,73,111,141],"adopts":[49],"unique":[51],"grouped":[52,104],"expansion":[53],"strategy":[54],"to":[55,81,135,153],"produce":[56],"more":[57],"effective":[58],"co-frequencies,":[59],"while":[60],"we":[61,124],"have":[62],"also":[63],"improved":[64],"frame-work":[67],"by":[68],"combining":[69],"successive":[70],"extraction":[71],"strategy.":[72],"first":[74],"uses":[75],"channel-by-channel":[76],"(VMD)":[80],"determine":[82],"center":[84],"frequency":[85],"each":[87],"channel,":[88],"then":[90],"performs":[91],"frequency-grouped":[92],"normalization.":[93],"Subsequently,":[94],"variational":[96],"optimization":[97],"model":[98,112],"is":[99,113],"established":[100],"based":[101],"on":[102],"results,":[105],"optimal":[108],"solution":[109],"for":[110],"obtained":[114],"using":[115,127],"Alternate":[117],"Direction":[118],"Method":[119],"Multipliers":[121],"(ADMM).":[122],"Finally,":[123],"conduct":[125],"experiments":[126],"electroencephalogram":[129],"(EEG)":[130],"signals":[131],"as":[132],"an":[133],"example":[134],"verify":[136],"superiority":[138],"design":[144],"Standard":[147],"Deviation":[148],"degree":[150],"(GSD)":[151],"parameters":[152],"measure":[154],"connectivity":[156],"between":[157],"EEG":[158],"channels,":[159],"providing":[160],"new":[162],"analytical":[163],"perspective.":[164]},"counts_by_year":[],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}
