{"id":"https://openalex.org/W2999996146","doi":"https://doi.org/10.1109/tim.2020.2967138","title":"Parameter Estimation Using Unscented Kalman Filter on the Gray-Box Model for Dynamic EEG System Modeling","display_name":"Parameter Estimation Using Unscented Kalman Filter on the Gray-Box Model for Dynamic EEG System Modeling","publication_year":2020,"publication_date":"2020-01-17","ids":{"openalex":"https://openalex.org/W2999996146","doi":"https://doi.org/10.1109/tim.2020.2967138","mag":"2999996146"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.2967138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.2967138","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5100417561","display_name":"Sun\u2010Hee Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sun-Hee Kim","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6081-0852","affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087619194","display_name":"Hyung-Jeong Yang","orcid":"https://orcid.org/0000-0003-3024-5060"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyung-Jeong Yang","raw_affiliation_strings":["Chonnam National University, Gwangju, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-3024-5060","affiliations":[{"raw_affiliation_string":"Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101749620","display_name":"Ngoc Anh Thi Nguyen","orcid":"https://orcid.org/0000-0001-5337-2332"},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]},{"id":"https://openalex.org/I3130697706","display_name":"University of Science and Technology - The University of Da Nang","ror":"https://ror.org/001ydh096","country_code":"VN","type":"education","lineage":["https://openalex.org/I3130697706"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Ngoc Anh Thi Nguyen","raw_affiliation_strings":["Faculty of Information Technology, The University of Da Nang\u2014University of Education, Da Nang, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-5337-2332","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, The University of Da Nang\u2014University of Education, Da Nang, Vietnam","institution_ids":["https://openalex.org/I3130697706","https://openalex.org/I3129492623"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010296981","display_name":"Raja Majid Mehmood","orcid":"https://orcid.org/0000-0002-2284-0479"},"institutions":[{"id":"https://openalex.org/I4210134189","display_name":"Xiamen University Malaysia","ror":"https://ror.org/0331wa828","country_code":"MY","type":"education","lineage":["https://openalex.org/I191208505","https://openalex.org/I4210134189"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Raja Majid Mehmood","raw_affiliation_strings":["School of Electrical and Computer Engineering, Xiamen University Malaysia, Sepang, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-2284-0479","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Xiamen University Malaysia, Sepang, Malaysia","institution_ids":["https://openalex.org/I4210134189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011014617","display_name":"Seong\u2013Whan Lee","orcid":"https://orcid.org/0000-0002-6249-4996"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Whan Lee","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6249-4996","affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2187,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83607862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"69","issue":"9","first_page":"6175","last_page":"6185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9965000152587891,"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/kalman-filter","display_name":"Kalman filter","score":0.7247681021690369},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6342617273330688},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.629310667514801},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5977404117584229},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.567811131477356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5614430904388428},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5173803567886353},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4496059715747833},{"id":"https://openalex.org/keywords/unscented-transform","display_name":"Unscented transform","score":0.44431209564208984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3357582688331604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3341216444969177},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.2984093129634857},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20500054955482483},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1435348391532898}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7247681021690369},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6342617273330688},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.629310667514801},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5977404117584229},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.567811131477356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5614430904388428},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5173803567886353},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4496059715747833},{"id":"https://openalex.org/C139399703","wikidata":"https://www.wikidata.org/wiki/Q7897426","display_name":"Unscented transform","level":5,"score":0.44431209564208984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3357582688331604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3341216444969177},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.2984093129634857},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20500054955482483},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1435348391532898},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2020.2967138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.2967138","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6308941625","display_name":null,"funder_award_id":"NRF-2018R1A2B6006046","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6954193290","display_name":null,"funder_award_id":"NRF-2017R1A4A1015559","funder_id":"https://openalex.org/F4320321408","funder_display_name":"Ministry of Education"}],"funders":[{"id":"https://openalex.org/F4320321373","display_name":"Korea University","ror":"https://ror.org/047dqcg40"},{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W95577512","https://openalex.org/W614468972","https://openalex.org/W833087632","https://openalex.org/W1016363673","https://openalex.org/W1533009986","https://openalex.org/W1593598614","https://openalex.org/W1631724761","https://openalex.org/W1753452204","https://openalex.org/W1753465721","https://openalex.org/W1761851204","https://openalex.org/W1919037289","https://openalex.org/W1981726496","https://openalex.org/W1985983039","https://openalex.org/W1990539978","https://openalex.org/W1993292006","https://openalex.org/W1994470193","https://openalex.org/W2003523627","https://openalex.org/W2016354087","https://openalex.org/W2017980840","https://openalex.org/W2020934227","https://openalex.org/W2031257398","https://openalex.org/W2035279803","https://openalex.org/W2038686546","https://openalex.org/W2042619365","https://openalex.org/W2045514650","https://openalex.org/W2071194462","https://openalex.org/W2071669229","https://openalex.org/W2078351434","https://openalex.org/W2090155673","https://openalex.org/W2098091224","https://openalex.org/W2107367379","https://openalex.org/W2121142264","https://openalex.org/W2121990344","https://openalex.org/W2123487311","https://openalex.org/W2123795346","https://openalex.org/W2139957756","https://openalex.org/W2146159969","https://openalex.org/W2167442255","https://openalex.org/W2275478486","https://openalex.org/W2329559012","https://openalex.org/W2330011484","https://openalex.org/W2547783202","https://openalex.org/W2551366549","https://openalex.org/W2559619370","https://openalex.org/W2590420622","https://openalex.org/W2720803613","https://openalex.org/W2741300550","https://openalex.org/W2765136386","https://openalex.org/W2770385712","https://openalex.org/W2783582275","https://openalex.org/W2785637931","https://openalex.org/W2791255579","https://openalex.org/W2795233373","https://openalex.org/W2807496108","https://openalex.org/W2962685300","https://openalex.org/W2970817286","https://openalex.org/W3100508066","https://openalex.org/W3103934441","https://openalex.org/W4249217789","https://openalex.org/W6619230459","https://openalex.org/W6626564423","https://openalex.org/W6678144789","https://openalex.org/W6730653592"],"related_works":["https://openalex.org/W2171718887","https://openalex.org/W2127064735","https://openalex.org/W2997733162","https://openalex.org/W2511112023","https://openalex.org/W2490865940","https://openalex.org/W2381377965","https://openalex.org/W2914907851","https://openalex.org/W1983180205","https://openalex.org/W1996116705","https://openalex.org/W2379534227"],"abstract_inverted_index":{"Model":[0],"parameters'":[1,92],"estimation":[2,93,127],"is":[3,69,87,135],"one":[4],"of":[5,16,28,40,57,99,118,131],"the":[6,11,26,54,60,78,81,90,97,100,103,110,114,132],"most":[7],"important":[8,38],"tasks":[9],"in":[10,21,25,36,138],"analysis":[12],"and":[13,141,149],"design":[14],"process":[15],"a":[17,33,45],"nonlinear":[18,49],"dynamic":[19,55],"system":[20,46],"real":[22,48],"time,":[23],"especially":[24],"presence":[27],"noise.":[29],"This":[30],"article":[31],"presents":[32],"novel":[34],"approach":[35,134],"estimating":[37],"parameters":[39],"gray-box":[41,104],"model":[42,75],"for":[43],"such":[44],"on":[47,102],"EEG":[50],"to":[51,76,95],"simulate":[52],"efficiently":[53],"characteristics":[56],"neurons.":[58],"Specifically,":[59],"proposed":[61,85,111,133],"methodology":[62,86],"exploits":[63],"unscented":[64],"Kalman":[65],"filter":[66],"(UKF)":[67],"that":[68,109],"combined":[70],"with":[71,89,143],"chaos":[72],"neural":[73],"population":[74],"formulate":[77],"interaction":[79],"between":[80],"cortical":[82],"areas.":[83],"The":[84,129],"compared":[88],"state-of-the-art":[91],"techniques":[94],"verify":[96],"efficiency":[98],"UKF":[101],"model.":[105],"Experimental":[106],"results":[107],"show":[108],"method":[112],"demonstrates":[113],"lowest":[115],"error":[116,122,145],"value":[117],"root":[119],"mean":[120],"square":[121],"(RMSE)":[123],"among":[124],"existing":[125],"parameter":[126],"methods.":[128],"robustness":[130],"further":[136],"validated":[137],"its":[139],"convergence":[140],"automation,":[142],"minimum":[144],"relatively":[146],"than":[147],"others":[148],"without":[150],"any":[151],"user-specified":[152],"input,":[153],"respectively.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}