{"id":"https://openalex.org/W2588108956","doi":"https://doi.org/10.1109/ssci.2016.7850048","title":"EEG dynamic source localization using constrained particle filtering","display_name":"EEG dynamic source localization using constrained particle filtering","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2588108956","doi":"https://doi.org/10.1109/ssci.2016.7850048","mag":"2588108956"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2016.7850048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7850048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-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/A5041497068","display_name":"Nesrine Amor","orcid":"https://orcid.org/0000-0001-7320-0036"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nesrine Amor","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rowan University, New Jersey, USA","The Laboratory of Technologies of Information and Communication and Electrical Engineering (LaTICE), University of Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rowan University, New Jersey, USA","institution_ids":["https://openalex.org/I44265643"]},{"raw_affiliation_string":"The Laboratory of Technologies of Information and Communication and Electrical Engineering (LaTICE), University of Tunis, Tunis, Tunisia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108091576","display_name":"Nidhal Bouaynaya","orcid":null},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nidhal Bouaynaya","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rowan University, New Jersey, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rowan University, New Jersey, USA","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041531122","display_name":"P\u00e9tia Georgieva","orcid":"https://orcid.org/0000-0002-6424-6590"},"institutions":[{"id":"https://openalex.org/I60858718","display_name":"University of Aveiro","ror":"https://ror.org/00nt41z93","country_code":"PT","type":"education","lineage":["https://openalex.org/I60858718"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Petia Georgieva","raw_affiliation_strings":["Department of Electronics, Telecommunications and Informatics, University of Aveiro, Aveiro, Portugal"],"affiliations":[{"raw_affiliation_string":"Department of Electronics, Telecommunications and Informatics, University of Aveiro, Aveiro, Portugal","institution_ids":["https://openalex.org/I60858718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028887750","display_name":"Roman Shterenberg","orcid":"https://orcid.org/0000-0001-7088-5711"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roman Shterenberg","raw_affiliation_strings":["Department of Mathematics, University of Alabama at Birmingham, Birmingham, AL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Alabama at Birmingham, Birmingham, AL, USA","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003199308","display_name":"Souad Chebbi","orcid":"https://orcid.org/0000-0001-9540-4486"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Souad Chebbi","raw_affiliation_strings":["The Laboratory of Technologies of Information and Communication and Electrical Engineering (LaTICE), University of Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"The Laboratory of Technologies of Information and Communication and Electrical Engineering (LaTICE), University of Tunis, Tunis, Tunisia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041497068"],"corresponding_institution_ids":["https://openalex.org/I44265643"],"apc_list":null,"apc_paid":null,"fwci":1.2609,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82160295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9988999962806702,"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":0.9970999956130981,"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/constraint","display_name":"Constraint (computer-aided design)","score":0.6890257596969604},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6384463906288147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5532799363136292},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5233506560325623},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.47899505496025085},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44380757212638855},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3560669720172882},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3448858857154846},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.30918359756469727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30282720923423767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2544856071472168}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6890257596969604},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6384463906288147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5532799363136292},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5233506560325623},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.47899505496025085},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44380757212638855},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3560669720172882},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3448858857154846},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.30918359756469727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30282720923423767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2544856071472168},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci.2016.7850048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7850048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320316439","display_name":"Rowan University","ror":"https://ror.org/049v69k10"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1603631609","https://openalex.org/W1607883663","https://openalex.org/W1608735834","https://openalex.org/W1785424449","https://openalex.org/W1963544757","https://openalex.org/W1972967324","https://openalex.org/W2009578573","https://openalex.org/W2111787305","https://openalex.org/W2170124654","https://openalex.org/W2220082332","https://openalex.org/W2277207740","https://openalex.org/W2790374560","https://openalex.org/W4236173595","https://openalex.org/W6636418528","https://openalex.org/W6676780147","https://openalex.org/W6688765391"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W4252024964","https://openalex.org/W4253883008","https://openalex.org/W2349580982"],"abstract_inverted_index":{"We":[0,60,228],"consider":[1],"the":[2,12,16,23,44,54,57,79,95,102,108,113,116,123,129,137,140,144,151,168,173,176,189,193,203,226,230,246,249,267,270,276,280],"dynamic":[3,19,64],"EEG":[4,20,40,158,258],"source":[5,21,65],"localization":[6,66],"problem":[7,67],"with":[8,182],"additional":[9,92,109],"constraints":[10,93,171,187,265],"on":[11,94,112,146,172,188,248,254,266],"expected":[13],"value":[14],"of":[15,53,115,122,167,175,192,198,219,225,252,279],"state.":[17,194,227],"In":[18,105],"localization,":[22],"brain":[24,55,155],"sources,":[25],"also":[26,125],"called":[27,126],"dipoles,":[28],"are":[29,77,178,242],"not":[30,135],"stationary":[31],"but":[32],"vary":[33],"over":[34],"time.":[35],"Moreover,":[36],"given":[37],"our":[38],"specific":[39,165],"experiment,":[41],"we":[42],"expect":[43],"dipoles":[45,156],"to":[46,162,180,208,213,244],"be":[47,99],"located":[48],"within":[49,101,128],"a":[50,69,164,209,214,263],"certain":[51],"area":[52],"(here,":[56],"visual":[58],"cortex).":[59],"formulate":[61],"this":[62,106],"constrained":[63,70],"as":[68,273,275],"non-linear":[71,83],"state-estimation":[72],"problem.":[73],"Particle":[74],"filters":[75],"(PFs)":[76],"nowadays":[78],"state-of-the-art":[80],"in":[81,202,222],"optimal":[82],"and":[84,256],"non-Gaussian":[85],"state":[86,96,141,177,268],"estimation.":[87],"However,":[88,139],"PFs":[89],"cannot":[90,98],"handle":[91],"that":[97,120,160,241,261],"incorporated":[100],"system":[103],"model.":[104],"case,":[107],"constraint":[110,145,247],"is":[111,149],"mean":[114,174],"state,":[117,124],"which":[118,220,237],"means":[119],"realizations":[121],"particles":[127,240],"PF":[130,204],"framework,":[131],"may":[132,134,205],"or":[133,212],"satisfy":[136,143,245],"constraint.":[138],"must":[142],"average.":[147],"This":[148],"indeed":[150],"case":[152],"when":[153],"tracking":[154,271],"from":[157],"experiments":[159],"try":[161],"target":[163],"cortex":[166],"brain.":[169],"Such":[170],"hard":[179],"deal":[181],"because":[183],"they":[184],"reflect":[185],"global":[186],"posterior":[190],"density":[191],"The":[195],"popular":[196],"solution":[197],"constraining":[199],"every":[200],"particle":[201],"lead":[206],"either":[207],"stronger":[210],"condition":[211],"different":[215],"(unrelated)":[216],"condition;":[217],"both":[218],"result":[221],"incorrect":[223],"estimation":[224],"propose":[229],"Iterative":[231],"Mean":[232],"Density":[233],"Truncation":[234],"(IMeDeT)":[235],"algorithm,":[236],"inductively":[238],"samples":[239],"guaranteed":[243],"mean.":[250],"Application":[251],"IMeDeT":[253],"synthetic":[255],"real":[257],"data":[259],"shows":[260],"incorporating":[262],"priori":[264],"improves":[269],"accuracy":[272],"well":[274],"convergence":[277],"rate":[278],"tracker.":[281]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}