{"id":"https://openalex.org/W2790313085","doi":"https://doi.org/10.1109/access.2018.2818789","title":"Time-Varying Nonlinear Causality Detection Using Regularized Orthogonal Least Squares and Multi-Wavelets With Applications to EEG","display_name":"Time-Varying Nonlinear Causality Detection Using Regularized Orthogonal Least Squares and Multi-Wavelets With Applications to EEG","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2790313085","doi":"https://doi.org/10.1109/access.2018.2818789","mag":"2790313085"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2818789","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2818789","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2818789","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100421442","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-1751-1742"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Department of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China","Open Fund Project of Fujian Provincial Key Laboratory of IPIC, Minjiang University, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Open Fund Project of Fujian Provincial Key Laboratory of IPIC, Minjiang University, Fujian, China","institution_ids":["https://openalex.org/I354108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016941216","display_name":"Meng-Ying Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng-Ying Lei","raw_affiliation_strings":["Department of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034885233","display_name":"Yuzhu Guo","orcid":"https://orcid.org/0000-0002-8588-5172"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhu Guo","raw_affiliation_strings":["Department of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029589252","display_name":"Zhongyi Hu","orcid":"https://orcid.org/0000-0002-9672-3734"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyi Hu","raw_affiliation_strings":["Intelligent Information Systems Institute, Wenzhou University, Wenzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Information Systems Institute, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026841543","display_name":"Hua\u2010Liang Wei","orcid":"https://orcid.org/0000-0002-4704-7346"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hua-Liang Wei","raw_affiliation_strings":["Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, U.K"],"raw_orcid":"https://orcid.org/0000-0002-4704-7346","affiliations":[{"raw_affiliation_string":"Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4863,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.80497881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"17826","last_page":"17840"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6988025903701782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6412073969841003},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.618279755115509},{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.5949597358703613},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4757530391216278},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46704405546188354},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.46698445081710815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.431172251701355},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4185938835144043},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39762818813323975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35224705934524536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2551458775997162},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22479411959648132},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.09181120991706848},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08773058652877808}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6988025903701782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6412073969841003},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.618279755115509},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.5949597358703613},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4757530391216278},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46704405546188354},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.46698445081710815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.431172251701355},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4185938835144043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39762818813323975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35224705934524536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2551458775997162},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22479411959648132},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.09181120991706848},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08773058652877808},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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":3,"locations":[{"id":"doi:10.1109/access.2018.2818789","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2818789","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:128933","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:b05ad3914bb24814b626e81abe44d1d6","is_oa":true,"landing_page_url":"https://doaj.org/article/b05ad3914bb24814b626e81abe44d1d6","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":"IEEE Access, Vol 6, Pp 17826-17840 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2818789","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2818789","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3058143276","display_name":"System Identification and Data Modelling of Complex Nonlinear and Nonstationary Processes","funder_award_id":"EP/I011056/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3404568052","display_name":null,"funder_award_id":"4172037","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G3868498110","display_name":null,"funder_award_id":"EP/I011056/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7721355391","display_name":null,"funder_award_id":"EP/H00453X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8133980618","display_name":"\u795e\u7ecf\u5143\u950b\u7535\u4f4d\u7684\u591a\u5c0f\u6ce2\u52a8\u6001\u5efa\u6a21\u4e0e\u7a81\u89e6\u53ef\u5851\u6027\u673a\u7406\u7814\u7a76","funder_award_id":"61671042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8495396123","display_name":"System Identification and Information Processing for Complex Systems","funder_award_id":"EP/H00453X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8966987018","display_name":null,"funder_award_id":"61403016","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1489213177","https://openalex.org/W1538292829","https://openalex.org/W1938483826","https://openalex.org/W1959164575","https://openalex.org/W1966936027","https://openalex.org/W1972823717","https://openalex.org/W1978053056","https://openalex.org/W1991557943","https://openalex.org/W1993645200","https://openalex.org/W1995113957","https://openalex.org/W1997804262","https://openalex.org/W2001471870","https://openalex.org/W2008437630","https://openalex.org/W2011476012","https://openalex.org/W2020245429","https://openalex.org/W2025010722","https://openalex.org/W2030912154","https://openalex.org/W2033000987","https://openalex.org/W2035100132","https://openalex.org/W2044806915","https://openalex.org/W2071106906","https://openalex.org/W2074501647","https://openalex.org/W2084680213","https://openalex.org/W2085900457","https://openalex.org/W2089361438","https://openalex.org/W2098398123","https://openalex.org/W2098955183","https://openalex.org/W2099430689","https://openalex.org/W2102380305","https://openalex.org/W2113862745","https://openalex.org/W2119739937","https://openalex.org/W2122007981","https://openalex.org/W2136320614","https://openalex.org/W2142635246","https://openalex.org/W2149550779","https://openalex.org/W2151669316","https://openalex.org/W2153134014","https://openalex.org/W2158776332","https://openalex.org/W2162800060","https://openalex.org/W2164711471","https://openalex.org/W2165117638","https://openalex.org/W2168478987","https://openalex.org/W2178225550","https://openalex.org/W2203914624","https://openalex.org/W2267287690","https://openalex.org/W2322017115","https://openalex.org/W2326920257","https://openalex.org/W2405546682","https://openalex.org/W2408559562","https://openalex.org/W2408852042","https://openalex.org/W2519808866","https://openalex.org/W2521283808","https://openalex.org/W2555315489","https://openalex.org/W2558651951","https://openalex.org/W2589578140","https://openalex.org/W2669968314","https://openalex.org/W2700941757","https://openalex.org/W2785095595","https://openalex.org/W4236383456","https://openalex.org/W4241868268","https://openalex.org/W4244765967","https://openalex.org/W6701081914"],"related_works":["https://openalex.org/W126301054","https://openalex.org/W4251195004","https://openalex.org/W4242807451","https://openalex.org/W2127540830","https://openalex.org/W2171218219","https://openalex.org/W3146892535","https://openalex.org/W1972271943","https://openalex.org/W3122103894","https://openalex.org/W2150410159","https://openalex.org/W3162204513"],"abstract_inverted_index":{"A":[0,59],"new":[1],"transient":[2,156],"Granger":[3,85],"causality":[4,86],"detection":[5,138],"method":[6,131,142],"is":[7,17,66,143],"proposed":[8,130,141,189],"based":[9,211],"on":[10],"a":[11,41,53,71],"time-varying":[12,36,84],"parametric":[13,37],"modeling":[14,38],"framework,":[15],"and":[16,77,105,135,191,203],"applied":[18,145],"to":[19,24,69,124,146],"the":[20,26,79,99,106,111,114,126,129,161,174,185,188,196,199,204],"real":[21,147],"EEG":[22,148],"signals":[23,89,149],"reveal":[25],"causal":[27,137,157],"information":[28,158],"flow":[29,159],"during":[30,173],"motor":[31],"imagery":[32],"(MI)":[33],"tasks.":[34,152],"The":[35,83,140],"approach":[39],"employs":[40],"nonlinear":[42,136],"autoregressive":[43],"with":[44],"external":[45],"input":[46],"model,":[47],"whose":[48],"parameters":[49],"are":[50,122],"approximated":[51],"by":[52,94],"set":[54],"of":[55,97,103,110,116,128,150,187,198],"multi-wavelet":[56],"basis":[57],"functions.":[58],"regularized":[60],"orthogonal":[61],"least":[62],"squares":[63],"(ROLS)":[64],"algorithm":[65],"then":[67,144],"used":[68],"produce":[70],"parsimonious":[72],"or":[73],"sparse":[74],"regression":[75],"model":[76,81],"estimate":[78],"associated":[80,200],"parameters.":[82],"between":[87,164],"nonstationary":[88],"can":[90,169],"be":[91,170],"detected":[92],"accurately":[93],"making":[95],"use":[96],"both":[98,133],"good":[100,107],"approximation":[101],"properties":[102],"multi-wavelets":[104],"generalization":[108],"performance":[109],"ROLS":[112],"in":[113],"presence":[115],"high-level":[117],"noise.":[118],"Two":[119],"simulation":[120],"examples":[121],"presented":[123],"demonstrate":[125],"effectiveness":[127],"for":[132,195,207],"linear":[134],"respectively.":[139],"MI":[151,209],"It":[153],"follows":[154],"that":[155],"over":[160],"time":[162],"course":[163],"various":[165],"sensorimotor":[166],"related":[167],"channels":[168],"successfully":[171],"revealed":[172],"whole":[175],"reaction":[176],"processes.":[177],"Experimental":[178],"results":[179],"from":[180],"these":[181],"case":[182],"studies":[183],"confirm":[184],"applicability":[186],"scheme":[190],"show":[192],"its":[193],"utility":[194],"understanding":[197],"neural":[201],"mechanism":[202],"potential":[205],"significance":[206],"developing":[208],"tasks":[210],"brain-computer":[212],"interface":[213],"systems.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
