{"id":"https://openalex.org/W4213071391","doi":"https://doi.org/10.1142/s021812662250181x","title":"A Framework for Solving the Source Localization of the EEG Measurements with the Application of Particle Filtering with Branching Resampling","display_name":"A Framework for Solving the Source Localization of the EEG Measurements with the Application of Particle Filtering with Branching Resampling","publication_year":2022,"publication_date":"2022-02-14","ids":{"openalex":"https://openalex.org/W4213071391","doi":"https://doi.org/10.1142/s021812662250181x"},"language":"en","primary_location":{"id":"doi:10.1142/s021812662250181x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021812662250181x","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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/A5080383071","display_name":"Santhosh Kumar Veeramalla","orcid":"https://orcid.org/0000-0002-0560-7130"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Santhosh Kumar Veeramalla","raw_affiliation_strings":["Department of Electronics and Communication Engineering, BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060234157","display_name":"V. Hindumathi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Hindumathi","raw_affiliation_strings":["Department of Electronics and Communication Engineering, BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080383071"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1487,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35133996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"31","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9980000257492065,"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":0.9976000189781189,"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/resampling","display_name":"Resampling","score":0.8989401459693909},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7823061943054199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6163539886474609},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5326769948005676},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5107715129852295},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4904164969921112},{"id":"https://openalex.org/keywords/degeneracy","display_name":"Degeneracy (biology)","score":0.4212781488895416},{"id":"https://openalex.org/keywords/branching","display_name":"Branching (polymer chemistry)","score":0.4139055609703064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39733561873435974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3787792921066284},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.20438998937606812},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08290493488311768}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8989401459693909},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7823061943054199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6163539886474609},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5326769948005676},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5107715129852295},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4904164969921112},{"id":"https://openalex.org/C2777727622","wikidata":"https://www.wikidata.org/wiki/Q5251772","display_name":"Degeneracy (biology)","level":2,"score":0.4212781488895416},{"id":"https://openalex.org/C206175624","wikidata":"https://www.wikidata.org/wiki/Q595731","display_name":"Branching (polymer chemistry)","level":2,"score":0.4139055609703064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39733561873435974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3787792921066284},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.20438998937606812},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08290493488311768},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021812662250181x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021812662250181x","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W4552575","https://openalex.org/W108781493","https://openalex.org/W116417043","https://openalex.org/W1859106888","https://openalex.org/W1964835716","https://openalex.org/W1967861790","https://openalex.org/W1983684992","https://openalex.org/W1987333243","https://openalex.org/W1988547035","https://openalex.org/W1999653836","https://openalex.org/W2008055781","https://openalex.org/W2014502281","https://openalex.org/W2016980059","https://openalex.org/W2022943789","https://openalex.org/W2045536507","https://openalex.org/W2082542916","https://openalex.org/W2098613108","https://openalex.org/W2101979660","https://openalex.org/W2105934661","https://openalex.org/W2113431893","https://openalex.org/W2113782161","https://openalex.org/W2126736494","https://openalex.org/W2126774578","https://openalex.org/W2127669771","https://openalex.org/W2128495200","https://openalex.org/W2130363011","https://openalex.org/W2138915055","https://openalex.org/W2141585124","https://openalex.org/W2145647377","https://openalex.org/W2158947615","https://openalex.org/W2159901472","https://openalex.org/W2160337655","https://openalex.org/W2161596343","https://openalex.org/W2161774902","https://openalex.org/W2166073443","https://openalex.org/W2171191044","https://openalex.org/W2220082332","https://openalex.org/W2257120953","https://openalex.org/W2277207740","https://openalex.org/W2569550367","https://openalex.org/W2606528050","https://openalex.org/W2610918077","https://openalex.org/W2620932942","https://openalex.org/W2890439327","https://openalex.org/W2995219531","https://openalex.org/W2999905431","https://openalex.org/W3003716372","https://openalex.org/W3005443241","https://openalex.org/W3007398312","https://openalex.org/W3105832148","https://openalex.org/W4230472026","https://openalex.org/W4250543537"],"related_works":["https://openalex.org/W2927378857","https://openalex.org/W2801696468","https://openalex.org/W2406829934","https://openalex.org/W2185006999","https://openalex.org/W2162253570","https://openalex.org/W1824810860","https://openalex.org/W2138381686","https://openalex.org/W1583020711","https://openalex.org/W1486580556","https://openalex.org/W2353687059"],"abstract_inverted_index":{"Inverse":[0],"algorithms":[1],"are":[2,27,106,142],"used":[3],"to":[4,62,85,108,121],"assess":[5],"EEG":[6,72,140],"source":[7,40,128],"parameters.":[8],"This":[9],"involves":[10],"identifying":[11],"unknown":[12],"voxels":[13],"in":[14,56,90],"hundreds":[15],"of":[16,23,46,66,78,95,114],"different":[17],"regions,":[18],"giving":[19],"an":[20],"incomplete":[21],"picture":[22],"the":[24,32,44,57,64,70,87,99,115],"brain.":[25],"There":[26],"no":[28],"uniform":[29],"solutions":[30],"since":[31],"same":[33],"sensor":[34],"output":[35],"may":[36],"come":[37],"from":[38,69],"many":[39],"configurations.":[41],"To":[42,130],"overcome":[43],"lack":[45],"uniqueness,":[47],"one":[48],"must":[49],"consider":[50],"previous":[51],"information":[52],"and":[53,133,138],"parameters":[54],"inherent":[55],"source.":[58],"Our":[59],"goal":[60],"is":[61,119],"predict":[63],"location":[65],"brain":[67,88,127],"sources":[68,89],"recorded":[71],"signal":[73],"without":[74],"any":[75],"prior":[76],"knowledge":[77],"sources.":[79],"We":[80],"applied":[81],"a":[82,122],"particle":[83,96,100],"filter":[84],"locate":[86],"this":[91,110],"article.":[92],"The":[93,112],"degeneracy":[94],"weights":[97],"limits":[98],"filter\u2019s":[101],"performance.":[102],"Various":[103],"resampling":[104,117,124],"techniques":[105],"suggested":[107],"address":[109],"problem.":[111],"performance":[113],"branching":[116],"approach":[118],"compared":[120],"systematic":[123],"method":[125],"for":[126],"localization.":[129],"perform":[131],"assessment":[132],"comparison":[134],"studies,":[135],"both":[136],"simulated":[137],"real":[139],"data":[141],"used.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}