{"id":"https://openalex.org/W4297474646","doi":"https://doi.org/10.3390/s22197314","title":"Adaptable and Robust EEG Bad Channel Detection Using Local Outlier Factor (LOF)","display_name":"Adaptable and Robust EEG Bad Channel Detection Using Local Outlier Factor (LOF)","publication_year":2022,"publication_date":"2022-09-27","ids":{"openalex":"https://openalex.org/W4297474646","doi":"https://doi.org/10.3390/s22197314","pmid":"https://pubmed.ncbi.nlm.nih.gov/36236413"},"language":"en","primary_location":{"id":"doi:10.3390/s22197314","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22197314","pdf_url":"https://www.mdpi.com/1424-8220/22/19/7314/pdf?version=1664333962","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/19/7314/pdf?version=1664333962","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019212129","display_name":"Velu Prabhakar Kumaravel","orcid":"https://orcid.org/0000-0002-9286-4687"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Velu Prabhakar Kumaravel","raw_affiliation_strings":["Center for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy","Digital Society Center, Fondazione Bruno Kessler, 38123 Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0002-9286-4687","affiliations":[{"raw_affiliation_string":"Center for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"Digital Society Center, Fondazione Bruno Kessler, 38123 Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021103326","display_name":"M. Buiatti","orcid":"https://orcid.org/0000-0003-2362-7853"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Buiatti","raw_affiliation_strings":["Center for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy"],"raw_orcid":"https://orcid.org/0000-0003-2362-7853","affiliations":[{"raw_affiliation_string":"Center for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001344890","display_name":"Eugenio Parise","orcid":"https://orcid.org/0000-0003-4836-6370"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Eugenio Parise","raw_affiliation_strings":["Center for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4836-6370","affiliations":[{"raw_affiliation_string":"Center for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068548938","display_name":"Elisabetta Farella","orcid":"https://orcid.org/0000-0001-9047-9868"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Elisabetta Farella","raw_affiliation_strings":["Digital Society Center, Fondazione Bruno Kessler, 38123 Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9047-9868","affiliations":[{"raw_affiliation_string":"Digital Society Center, Fondazione Bruno Kessler, 38123 Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019212129","https://openalex.org/A5068548938"],"corresponding_institution_ids":["https://openalex.org/I193223587","https://openalex.org/I2277624104"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":2.374,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.89292103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"22","issue":"19","first_page":"7314","last_page":"7314"},"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":0.9987999796867371,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7572781443595886},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7193133234977722},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6937477588653564},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.650518000125885},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6457338333129883},{"id":"https://openalex.org/keywords/local-outlier-factor","display_name":"Local outlier factor","score":0.5906251668930054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5456283092498779},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.535559356212616},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.48821213841438293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4697055518627167},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4322328269481659},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4188218116760254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33001959323883057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32922089099884033},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08997100591659546},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06841740012168884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7572781443595886},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7193133234977722},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6937477588653564},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.650518000125885},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6457338333129883},{"id":"https://openalex.org/C169029474","wikidata":"https://www.wikidata.org/wiki/Q387942","display_name":"Local outlier factor","level":3,"score":0.5906251668930054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5456283092498779},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.535559356212616},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.48821213841438293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4697055518627167},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4322328269481659},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4188218116760254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33001959323883057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32922089099884033},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08997100591659546},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06841740012168884},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s22197314","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22197314","pdf_url":"https://www.mdpi.com/1424-8220/22/19/7314/pdf?version=1664333962","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36236413","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36236413","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:b8f53c8b7a2f4ecba98204027d27995b","is_oa":true,"landing_page_url":"https://doaj.org/article/b8f53c8b7a2f4ecba98204027d27995b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 19, p 7314 (2022)","raw_type":"article"},{"id":"pmh:oai:iris.unitn.it:11572/355078","is_oa":true,"landing_page_url":"https://www.mdpi.com/1424-8220/22/19/7314","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/19/7314/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22197314","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 19; Pages: 7314","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9571252","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9571252","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22197314","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22197314","pdf_url":"https://www.mdpi.com/1424-8220/22/19/7314/pdf?version=1664333962","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6274774738","display_name":null,"funder_award_id":"842243","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4297474646.pdf","grobid_xml":"https://content.openalex.org/works/W4297474646.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W429766147","https://openalex.org/W1525254066","https://openalex.org/W1936982107","https://openalex.org/W1940858164","https://openalex.org/W1981650367","https://openalex.org/W1984441060","https://openalex.org/W1989769999","https://openalex.org/W2002788510","https://openalex.org/W2023869733","https://openalex.org/W2041184937","https://openalex.org/W2101234009","https://openalex.org/W2113412631","https://openalex.org/W2128495200","https://openalex.org/W2129281431","https://openalex.org/W2132894027","https://openalex.org/W2144182447","https://openalex.org/W2144949740","https://openalex.org/W2146978355","https://openalex.org/W2149407814","https://openalex.org/W2157765880","https://openalex.org/W2249697914","https://openalex.org/W2337344967","https://openalex.org/W2395028581","https://openalex.org/W2487770199","https://openalex.org/W2507937192","https://openalex.org/W2521192355","https://openalex.org/W2533020853","https://openalex.org/W2792847701","https://openalex.org/W2803437104","https://openalex.org/W2912885887","https://openalex.org/W2914237854","https://openalex.org/W2915196348","https://openalex.org/W2950551274","https://openalex.org/W2952428400","https://openalex.org/W2962420203","https://openalex.org/W2990528944","https://openalex.org/W3011761883","https://openalex.org/W3023130939","https://openalex.org/W3202417708","https://openalex.org/W4200389069","https://openalex.org/W4200486332","https://openalex.org/W4205750514","https://openalex.org/W4256561644","https://openalex.org/W4297804427","https://openalex.org/W4382468395","https://openalex.org/W6675354045","https://openalex.org/W6691283080","https://openalex.org/W6770621979"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W2770832849","https://openalex.org/W3111802945","https://openalex.org/W114119537","https://openalex.org/W2912112202","https://openalex.org/W4240627425","https://openalex.org/W2761705761","https://openalex.org/W205872183","https://openalex.org/W2019014808","https://openalex.org/W2946096271"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"data":[2,26,42,152],"are":[3],"typically":[4],"affected":[5],"by":[6,185,194],"artifacts.":[7],"The":[8],"detection":[9,64,79,175],"and":[10,47,113,130,132,138,199,201],"removal":[11],"of":[12,87,98,107,115,150,165,183],"bad":[13,62,77,91,173],"channels":[14,92],"(i.e.,":[15],"with":[16,54,168],"poor":[17],"signal-to-noise":[18],"ratio)":[19],"is":[20],"a":[21,59],"crucial":[22],"initial":[23],"step.":[24],"EEG":[25,61,123,151],"acquired":[27,124],"from":[28,125],"different":[29,32],"populations":[30,127],"require":[31],"cleaning":[33],"strategies":[34],"due":[35],"to":[36,94,104,147],"the":[37,41,44,48,68,84,95,111,116,158,163,169,187],"inherent":[38],"differences":[39],"in":[40],"quality,":[43],"artifacts'":[45],"nature,":[46],"employed":[49],"experimental":[50,135],"paradigm.":[51],"To":[52,109],"deal":[53],"such":[55],"differences,":[56],"we":[57,119],"propose":[58],"robust":[60],"channel":[63,78,174],"method":[65],"based":[66],"on":[67,122],"Local":[69],"Outlier":[70],"Factor":[71],"(LOF)":[72],"algorithm.":[73],"Unlike":[74],"most":[75],"existing":[76,170],"algorithms":[80],"that":[81,142,179],"look":[82],"for":[83,197,203],"global":[85],"distribution":[86],"channels,":[88,99],"LOF":[89,143,159,180],"identifies":[90],"relative":[93],"local":[96],"cluster":[97],"which":[100],"makes":[101],"it":[102,121],"adaptable":[103],"any":[105],"kind":[106],"EEG.":[108],"test":[110],"performance":[112,164,192],"versatility":[114],"proposed":[117],"algorithm,":[118],"validated":[120],"three":[126],"(newborns,":[128],"infants,":[129],"adults)":[131],"using":[133],"two":[134],"paradigms":[136],"(event-related":[137],"frequency-tagging).":[139],"We":[140,161,177],"found":[141,178],"can":[144],"be":[145],"applied":[146],"all":[148,182],"kinds":[149],"after":[153],"calibrating":[154],"its":[155],"main":[156],"hyperparameter:":[157],"threshold.":[160],"benchmarked":[162],"our":[166,190],"approach":[167],"state-of-the-art":[171],"(SoA)":[172],"methods.":[176],"outperforms":[181],"them":[184],"improving":[186],"F1":[188],"Score,":[189],"chosen":[191],"metric,":[193],"about":[195],"40%":[196],"newborns":[198],"infants":[200],"87.5%":[202],"adults.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}