{"id":"https://openalex.org/W2158674205","doi":"https://doi.org/10.1109/tbme.2010.2089686","title":"Local Polynomial Modeling of Time-Varying Autoregressive Models With Application to Time\u2013Frequency Analysis of Event-Related EEG","display_name":"Local Polynomial Modeling of Time-Varying Autoregressive Models With Application to Time\u2013Frequency Analysis of Event-Related EEG","publication_year":2010,"publication_date":"2010-11-05","ids":{"openalex":"https://openalex.org/W2158674205","doi":"https://doi.org/10.1109/tbme.2010.2089686","mag":"2158674205","pmid":"https://pubmed.ncbi.nlm.nih.gov/20977980"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2010.2089686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2010.2089686","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5083538485","display_name":"Z. G. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Z G Zhang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Hong Kong, Pokfulam, Hong Kong. zgzhang@eee.hku.hk","Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Pokfulam, Hong Kong. zgzhang@eee.hku.hk","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015866095","display_name":"Y.S. Hung","orcid":"https://orcid.org/0000-0001-8151-0640"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Y S Hung","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101788650","display_name":"Sam Chan","orcid":"https://orcid.org/0000-0001-7109-0697"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"S C Chan","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.9659,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.76467628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"58","issue":"3","first_page":"557","last_page":"566"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9988999962806702,"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":0.9952999949455261,"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/autoregressive-model","display_name":"Autoregressive model","score":0.8066267967224121},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.6661210060119629},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.6287064552307129},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5493771433830261},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5486375689506531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5295515656471252},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.48229339718818665},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.47684040665626526},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4645412266254425},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4330804944038391},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3865097165107727},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35328003764152527},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1897188127040863},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.12441679835319519},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12261202931404114}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8066267967224121},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.6661210060119629},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.6287064552307129},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5493771433830261},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5486375689506531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5295515656471252},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.48229339718818665},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.47684040665626526},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4645412266254425},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4330804944038391},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3865097165107727},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35328003764152527},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1897188127040863},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.12441679835319519},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12261202931404114},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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":[{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tbme.2010.2089686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2010.2089686","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:20977980","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20977980","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":"IEEE transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:hub.hku.hk:10722/143342","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/143342","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W641284212","https://openalex.org/W1597732836","https://openalex.org/W1597926580","https://openalex.org/W1964864992","https://openalex.org/W1967970656","https://openalex.org/W1974356429","https://openalex.org/W1977795397","https://openalex.org/W1984911245","https://openalex.org/W1988183770","https://openalex.org/W2009149272","https://openalex.org/W2011290496","https://openalex.org/W2013252094","https://openalex.org/W2077071854","https://openalex.org/W2082404195","https://openalex.org/W2096450505","https://openalex.org/W2100741386","https://openalex.org/W2100959503","https://openalex.org/W2102121630","https://openalex.org/W2102557862","https://openalex.org/W2103576720","https://openalex.org/W2116308679","https://openalex.org/W2117902495","https://openalex.org/W2124989052","https://openalex.org/W2126444489","https://openalex.org/W2128483108","https://openalex.org/W2128723763","https://openalex.org/W2132813795","https://openalex.org/W2136219936","https://openalex.org/W2139625783","https://openalex.org/W2142157734","https://openalex.org/W2148492654","https://openalex.org/W2151150637","https://openalex.org/W2153134014","https://openalex.org/W2157239434","https://openalex.org/W2164228655","https://openalex.org/W2167770537","https://openalex.org/W2498896499","https://openalex.org/W2792296590","https://openalex.org/W2969621399"],"related_works":["https://openalex.org/W2093743085","https://openalex.org/W2351280802","https://openalex.org/W118968237","https://openalex.org/W2156681083","https://openalex.org/W4385326819","https://openalex.org/W3126234533","https://openalex.org/W3014345450","https://openalex.org/W2197886009","https://openalex.org/W2978452098","https://openalex.org/W2008610817"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,47,50,100,126],"new":[4],"local":[5],"polynomial":[6,41],"modeling":[7],"(LPM)":[8],"method":[9,30,58,123],"for":[10,104],"identification":[11],"of":[12,24,79,84,133],"time-varying":[13,74],"autoregressive":[14],"(TVAR)":[15],"models":[16,31],"and":[17,38,90,115,129],"applies":[18],"it":[19,99],"to":[20,61],"time-frequency":[21,96,131],"analysis":[22],"(TFA)":[23],"event-related":[25],"electroencephalogram":[26],"(ER-EEG).":[27],"The":[28,72],"LPM":[29,122],"the":[32,40,63,68,80,95,121,134],"TVAR":[33],"coefficients":[34,42],"locally":[35],"by":[36],"polynomials":[37],"estimates":[39],"using":[43],"weighted":[44],"least-squares":[45],"with":[46],"window":[48],"having":[49],"certain":[51],"bandwidth.":[52],"A":[53],"data-driven":[54],"variable":[55],"bandwidth":[56,65],"selection":[57],"is":[59,82],"developed":[60],"determine":[62],"optimal":[64],"that":[66,120],"minimizes":[67],"mean":[69],"squared":[70],"error.":[71],"resultant":[73],"power":[75],"spectral":[76],"density":[77],"estimation":[78],"signal":[81],"capable":[83],"achieving":[85],"both":[86],"high":[87,91],"time":[88],"resolution":[89,93],"frequency":[92],"in":[94],"domain,":[97],"making":[98],"powerful":[101],"TFA":[102],"technique":[103],"nonstationary":[105],"biomedical":[106],"signals":[107,114],"like":[108],"ER-EEG.":[109],"Experimental":[110],"results":[111],"on":[112],"synthesized":[113],"real":[116],"EEG":[117],"data":[118],"show":[119],"can":[124],"achieve":[125],"more":[127],"accurate":[128],"complete":[130],"representation":[132],"signal.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}