{"id":"https://openalex.org/W2771612706","doi":"https://doi.org/10.1109/smc.2017.8122759","title":"EEG denoising using narrow-band independent component selection in time domain","display_name":"EEG denoising using narrow-band independent component selection in time domain","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2771612706","doi":"https://doi.org/10.1109/smc.2017.8122759","mag":"2771612706"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8122759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5088852492","display_name":"Jorge P\u00e9rez-Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-4069-4268"},"institutions":[{"id":"https://openalex.org/I200362191","display_name":"Universidad Aut\u00f3noma Metropolitana","ror":"https://ror.org/02kta5139","country_code":"MX","type":"education","lineage":["https://openalex.org/I200362191"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Jorge Perez-Gonzalez","raw_affiliation_strings":["Electrical Engineering Department, Universidad Aut\u00f3noma Metropolitana-Iztapalapa, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Universidad Aut\u00f3noma Metropolitana-Iztapalapa, Mexico","institution_ids":["https://openalex.org/I200362191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042879130","display_name":"Miguelangel Fraga-Aguilar","orcid":null},"institutions":[{"id":"https://openalex.org/I200362191","display_name":"Universidad Aut\u00f3noma Metropolitana","ror":"https://ror.org/02kta5139","country_code":"MX","type":"education","lineage":["https://openalex.org/I200362191"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Miguelangel Fraga-Aguilar","raw_affiliation_strings":["Electrical Engineering Department, Universidad Aut\u00f3noma Metropolitana-Iztapalapa, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Universidad Aut\u00f3noma Metropolitana-Iztapalapa, Mexico","institution_ids":["https://openalex.org/I200362191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061363632","display_name":"Raquel Vald\u00e9s-Cristerna","orcid":"https://orcid.org/0000-0002-0173-1759"},"institutions":[{"id":"https://openalex.org/I200362191","display_name":"Universidad Aut\u00f3noma Metropolitana","ror":"https://ror.org/02kta5139","country_code":"MX","type":"education","lineage":["https://openalex.org/I200362191"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Raquel Valdes-Cristerna","raw_affiliation_strings":["Electrical Engineering Department, Universidad Aut\u00f3noma Metropolitana-Iztapalapa, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Universidad Aut\u00f3noma Metropolitana-Iztapalapa, Mexico","institution_ids":["https://openalex.org/I200362191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053998821","display_name":"\u00d3scar Y\u00e1\u00f1ez-Su\u00e1rez","orcid":"https://orcid.org/0000-0002-4249-8877"},"institutions":[{"id":"https://openalex.org/I200362191","display_name":"Universidad Aut\u00f3noma Metropolitana","ror":"https://ror.org/02kta5139","country_code":"MX","type":"education","lineage":["https://openalex.org/I200362191"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Oscar Yanez-Suarez","raw_affiliation_strings":["Electrical Engineering Department, Universidad Aut\u00f3noma Metropolitana-Iztapalapa, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Universidad Aut\u00f3noma Metropolitana-Iztapalapa, Mexico","institution_ids":["https://openalex.org/I200362191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064600541","display_name":"Ver\u00f3nica Medina-Ba\u00f1uelos","orcid":"https://orcid.org/0000-0001-8072-3927"},"institutions":[{"id":"https://openalex.org/I200362191","display_name":"Universidad Aut\u00f3noma Metropolitana","ror":"https://ror.org/02kta5139","country_code":"MX","type":"education","lineage":["https://openalex.org/I200362191"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Veronica Medina-Banuelos","raw_affiliation_strings":["Electrical Engineering Department, Universidad Aut\u00f3noma Metropolitana-Iztapalapa, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Universidad Aut\u00f3noma Metropolitana-Iztapalapa, Mexico","institution_ids":["https://openalex.org/I200362191"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061707879","display_name":"Omar Pi\u00f1a-Ram\u00edrez","orcid":"https://orcid.org/0000-0002-6051-4295"},"institutions":[{"id":"https://openalex.org/I200362191","display_name":"Universidad Aut\u00f3noma Metropolitana","ror":"https://ror.org/02kta5139","country_code":"MX","type":"education","lineage":["https://openalex.org/I200362191"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Omar Pina-Ramirez","raw_affiliation_strings":["Electrical Engineering Department, Universidad Aut\u00f3noma Metropolitana-Iztapalapa, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Universidad Aut\u00f3noma Metropolitana-Iztapalapa, Mexico","institution_ids":["https://openalex.org/I200362191"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.399,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.622137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"113","issue":null,"first_page":"1105","last_page":"1109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991999864578247,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9941999912261963,"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/electroencephalography","display_name":"Electroencephalography","score":0.9088414311408997},{"id":"https://openalex.org/keywords/parsevals-theorem","display_name":"Parseval's theorem","score":0.8664578199386597},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.6576449275016785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6253172159194946},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5612948536872864},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5371872186660767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5069613456726074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4638630747795105},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4634537398815155},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.45907163619995117},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4415620267391205},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.438416987657547},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.4163914918899536},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.38817721605300903},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22436264157295227},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12363371253013611},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12267982959747314},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.10187241435050964},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10005003213882446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0957871675491333},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08329764008522034}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.9088414311408997},{"id":"https://openalex.org/C89451469","wikidata":"https://www.wikidata.org/wiki/Q1443036","display_name":"Parseval's theorem","level":5,"score":0.8664578199386597},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.6576449275016785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6253172159194946},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5612948536872864},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5371872186660767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5069613456726074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4638630747795105},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4634537398815155},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.45907163619995117},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4415620267391205},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.438416987657547},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.4163914918899536},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38817721605300903},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22436264157295227},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12363371253013611},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12267982959747314},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.10187241435050964},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10005003213882446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0957871675491333},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08329764008522034},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2017.8122759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1968831876","https://openalex.org/W1996512021","https://openalex.org/W2033587657","https://openalex.org/W2038010805","https://openalex.org/W2064059030","https://openalex.org/W2102454701","https://openalex.org/W2105673422","https://openalex.org/W2106006415","https://openalex.org/W2141224535","https://openalex.org/W2162295492","https://openalex.org/W2170077112","https://openalex.org/W2243147875","https://openalex.org/W2294054813","https://openalex.org/W2534443592"],"related_works":["https://openalex.org/W1522297789","https://openalex.org/W2495194047","https://openalex.org/W2164846160","https://openalex.org/W4296137464","https://openalex.org/W1983104818","https://openalex.org/W2391387784","https://openalex.org/W2951524812","https://openalex.org/W2963844916","https://openalex.org/W4298118036","https://openalex.org/W2179977742"],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"is":[2,57],"the":[3,13,25,31,70,85,108,122,161],"most":[4,86],"frequently":[5],"used":[6],"technique":[7],"to":[8,58,68,91,145,155,159],"monitor":[9],"functional":[10],"activity":[11],"of":[12,27,54,84,112,124],"brain.":[14],"It":[15],"has":[16],"been":[17],"widely":[18],"employed":[19],"in":[20,66,153],"brain-computer":[21],"interfaces":[22],"based":[23],"on":[24],"detection":[26],"P300":[28,32,71,88,125,162],"potentials.":[29],"However,":[30],"waves":[33],"often":[34],"contain":[35],"physiological":[36],"and":[37,114,129],"non-physiological":[38],"artifacts":[39],"such":[40],"as":[41],"steady":[42],"state":[43],"visually":[44],"evoked":[45],"potential,":[46],"power":[47,92,109],"line":[48],"or":[49],"environment":[50],"noise.":[51],"The":[52,73,101],"aim":[53],"this":[55,140],"work":[56],"eliminate":[59,146],"undesirable":[60,147],"periodic":[61],"independent":[62,77],"components":[63,89,148],"from":[64,95],"EEG,":[65,116,131],"order":[67,154],"enhance":[69,160],"wave.":[72],"proposed":[74],"method":[75,141],"combines":[76],"component":[78,119],"analysis":[79],"with":[80,149],"a":[81],"suitable":[82],"selection":[83],"representative":[87],"according":[90],"features":[93],"estimated":[94],"time":[96],"measures":[97],"using":[98],"Parseval's":[99],"theorem.":[100],"results":[102],"show":[103],"statistical":[104,133],"differences":[105,134],"(p<;0.001)":[106],"between":[107,127],"spectral":[110],"densities":[111],"raw":[113,128],"restored":[115],"after":[117],"Parseval-based":[118],"elimination.":[120],"Additionally,":[121],"comparison":[123],"latencies":[126],"filtered":[130],"showed":[132],"(p<;0.001).":[135],"Our":[136],"findings":[137],"suggest":[138],"that":[139],"can":[142],"be":[143],"helpful":[144],"significant":[150],"narrow-band":[151],"power,":[152],"preserve":[156],"information":[157],"required":[158],"potential.":[163]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}