{"id":"https://openalex.org/W2913487943","doi":"https://doi.org/10.1109/icumt.2018.8631219","title":"Eeg Artifact Removal and Noise Suppression Using Hybrid Glct -Ica Technique","display_name":"Eeg Artifact Removal and Noise Suppression Using Hybrid Glct -Ica Technique","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2913487943","doi":"https://doi.org/10.1109/icumt.2018.8631219","mag":"2913487943"},"language":"en","primary_location":{"id":"doi:10.1109/icumt.2018.8631219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icumt.2018.8631219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","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/A5032778414","display_name":"Komal Jindal","orcid":"https://orcid.org/0000-0003-0765-2784"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K. Jindal","raw_affiliation_strings":["Electronics and Communication Engineering Department, Thapar Institute of Engineering & Technology, Patiala, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering Department, Thapar Institute of Engineering & Technology, Patiala, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055824701","display_name":"Rahul Upadhyay","orcid":"https://orcid.org/0000-0003-0476-4529"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Upadhyay","raw_affiliation_strings":["Electronics and Communication Engineering Department, Thapar Institute of Engineering & Technology, Patiala, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering Department, Thapar Institute of Engineering & Technology, Patiala, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102848699","display_name":"Hari Singh","orcid":"https://orcid.org/0000-0001-5059-7798"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"H. S. Singh","raw_affiliation_strings":["Electronics and Communication Engineering Department, Thapar Institute of Engineering & Technology, Patiala, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering Department, Thapar Institute of Engineering & Technology, Patiala, India","institution_ids":["https://openalex.org/I162030827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032778414"],"corresponding_institution_ids":["https://openalex.org/I162030827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.17603679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.8304712772369385},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7526247501373291},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7077827453613281},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.7018969058990479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7011144757270813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.60334312915802},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5613172054290771},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.556609034538269},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.4757137894630432},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47407951951026917},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.096589595079422},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06859827041625977},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06841227412223816},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.058168649673461914}],"concepts":[{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.8304712772369385},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7526247501373291},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7077827453613281},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7018969058990479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7011144757270813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60334312915802},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5613172054290771},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.556609034538269},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.4757137894630432},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47407951951026917},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.096589595079422},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06859827041625977},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06841227412223816},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.058168649673461914},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icumt.2018.8631219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icumt.2018.8631219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1761200639","https://openalex.org/W1976426522","https://openalex.org/W1982500096","https://openalex.org/W2005521760","https://openalex.org/W2010431503","https://openalex.org/W2025157091","https://openalex.org/W2074581693","https://openalex.org/W2122014760","https://openalex.org/W2225904595","https://openalex.org/W2405750633","https://openalex.org/W2415478720","https://openalex.org/W2556555238","https://openalex.org/W2704243436","https://openalex.org/W2743205598"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2046761971","https://openalex.org/W2364896863","https://openalex.org/W2361066326","https://openalex.org/W2182042810","https://openalex.org/W2156932837","https://openalex.org/W2380698615","https://openalex.org/W374502268","https://openalex.org/W2103029460","https://openalex.org/W1785857632"],"abstract_inverted_index":{"Electroencephalogram":[0,41,70,98,123,133],"signals":[1,26,99,137],"are":[2,81],"often":[3],"contaminated":[4,69],"by":[5,85,100],"non-cerebral":[6,117],"sources":[7,67,118,130],"like":[8],"muscle":[9],"artifacts,":[10],"eye":[11],"movement":[12],"and":[13,23,36,56,83,109,135],"instrumentation":[14],"noise":[15,34,110],"due":[16],"to":[17,64],"which":[18],"cerebral":[19],"information":[20],"loss":[21],"occurs":[22],"interpretation":[24],"of":[25,53,68,91,115,119],"become":[27],"challenging.":[28],"This":[29],"paper":[30],"presents":[31],"a":[32],"novel":[33],"suppression":[35,111],"artifact":[37,108,120],"removal":[38],"technique":[39,47,74,112],"for":[40],"signal":[42],"records.":[43],"The":[44,89,103],"proposed":[45,92,107],"hybrid":[46],"is":[48,75,94,113],"based":[49],"on":[50,96],"joint":[51],"usage":[52],"Fast-Power":[54,72],"ICA":[55,73],"General":[57],"Linear":[58],"Chirplet":[59],"Transform.":[60],"In":[61],"present":[62,121],"work,":[63],"separate":[65],"blind":[66],"activity":[71,134],"employed.":[76],"Further,":[77],"Artifactual":[78],"Independent":[79],"Components":[80],"identified":[82],"corrected":[84],"GLCT":[86],"transformation":[87],"technique.":[88],"efficacy":[90],"work":[93],"estimated":[95],"simulated":[97],"qualitative":[101],"evaluation.":[102],"results":[104],"demonstrate":[105],"that":[106],"capable":[114],"identifying":[116],"in":[122],"activity.":[124],"Also,":[125],"it":[126],"effectively":[127],"removes":[128],"such":[129],"from":[131],"recorded":[132],"makes":[136],"contamination":[138],"free.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}