{"id":"https://openalex.org/W2990964087","doi":"https://doi.org/10.1109/smc.2019.8914216","title":"Applying Logistic Regression for Classification in Single-Channel SSVEP-based BCIs","display_name":"Applying Logistic Regression for Classification in Single-Channel SSVEP-based BCIs","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990964087","doi":"https://doi.org/10.1109/smc.2019.8914216","mag":"2990964087"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2019.8914216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5023375107","display_name":"Giovanni Acampora","orcid":"https://orcid.org/0000-0003-4082-5616"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giovanni Acampora","raw_affiliation_strings":["Department of Physics \u201dEttore Pancini\u201d, University of Naples Federico II, Naples, Italy","Department of Physics \"Ettore Pancini\", University of Naples Federico II, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Physics \u201dEttore Pancini\u201d, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]},{"raw_affiliation_string":"Department of Physics \"Ettore Pancini\", University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067394225","display_name":"P. Trinchese","orcid":null},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pasquale Trinchese","raw_affiliation_strings":["Department of Physics \u201dEttore Pancini\u201d, University of Naples Federico II, Naples, Italy","Department of Physics \"Ettore Pancini\", University of Naples Federico II, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Physics \u201dEttore Pancini\u201d, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]},{"raw_affiliation_string":"Department of Physics \"Ettore Pancini\", University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082199687","display_name":"Autilia Vitiello","orcid":"https://orcid.org/0000-0001-5562-9226"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Autilia Vitiello","raw_affiliation_strings":["Department of Physics \u201dEttore Pancini\u201d, University of Naples Federico II, Naples, Italy","Department of Physics \"Ettore Pancini\", University of Naples Federico II, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Physics \u201dEttore Pancini\u201d, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]},{"raw_affiliation_string":"Department of Physics \"Ettore Pancini\", University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023375107"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":0.3648,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60171272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9968000054359436,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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":0.8870890140533447},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7504510879516602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.721567690372467},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6116151213645935},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5457803606987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49146759510040283},{"id":"https://openalex.org/keywords/visual-evoked-potentials","display_name":"Visual evoked potentials","score":0.4832673668861389},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.44837579131126404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41610854864120483},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36388108134269714},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32148995995521545},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26550519466400146},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14999207854270935},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08538979291915894},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08474710583686829}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8870890140533447},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7504510879516602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.721567690372467},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6116151213645935},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5457803606987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49146759510040283},{"id":"https://openalex.org/C3018323323","wikidata":"https://www.wikidata.org/wiki/Q618678","display_name":"Visual evoked potentials","level":2,"score":0.4832673668861389},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.44837579131126404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41610854864120483},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36388108134269714},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32148995995521545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26550519466400146},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14999207854270935},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08538979291915894},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08474710583686829},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2019.8914216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1991208200","https://openalex.org/W2005634718","https://openalex.org/W2009857688","https://openalex.org/W2056544759","https://openalex.org/W2061171222","https://openalex.org/W2074734666","https://openalex.org/W2106006415","https://openalex.org/W2135023822","https://openalex.org/W2318702894","https://openalex.org/W2337970775","https://openalex.org/W2546806870","https://openalex.org/W2562618250","https://openalex.org/W2572973607","https://openalex.org/W2756027509","https://openalex.org/W2765386893","https://openalex.org/W2790825252","https://openalex.org/W2887457223","https://openalex.org/W6680458914","https://openalex.org/W6731511348","https://openalex.org/W6731761773"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2044053727","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W4393876617","https://openalex.org/W2784881001","https://openalex.org/W2113126929","https://openalex.org/W139484227"],"abstract_inverted_index":{"Steady-State":[0],"Visual":[1],"Evoked":[2],"Potentials":[3],"(SSVEPs)":[4],"are":[5,36,52,88],"electroencephalography":[6],"(EEG)":[7],"signals":[8],"which,":[9],"recently,":[10],"have":[11],"attracted":[12],"a":[13,61,65,108,117],"notable":[14],"interest":[15,67],"in":[16,68,171],"the":[17,102,105,114,140,164,168],"field":[18],"of":[19,40,107,116,134,142,146,173],"Brain":[20],"Computer":[21],"Interfaces":[22],"(BCIs)":[23],"due":[24],"to":[25,31,57,94,113,126,138],"their":[26],"little":[27],"training":[28],"requirement.":[29],"Similar":[30],"other":[32,103],"EEG":[33,41,50,73,86,151],"signals,":[34],"SSVEPs":[35,147],"captured":[37,148],"by":[38,44,97,149,156,161],"means":[39],"devices":[42,51,74,87,152],"characterized":[43],"multiple":[45],"wet":[46],"electrodes.":[47],"Unfortunately,":[48],"these":[49,84],"very":[53],"uncomfortable":[54],"for":[55],"users":[56],"be":[58,95,127],"worn.":[59],"As":[60,159],"consequence,":[62],"there":[63],"is":[64,123,137],"strong":[66],"developing":[69],"more":[70,92,124],"comfortable":[71],"single-channel":[72,150],"equipped":[75],"with":[76,153],"dry":[77,110,154],"sensors.":[78],"However,":[79],"if,":[80],"on":[81,101],"one":[82],"hand,":[83,104],"innovative":[85],"less":[89],"invasive":[90],"and":[91,119,130],"simple":[93],"used":[96],"an":[98],"average":[99],"user,":[100],"exploitation":[106],"single":[109],"sensor":[111],"leads":[112],"collection":[115],"weaker":[118],"noisy":[120],"signal":[121,143],"which":[122],"difficult":[125],"opportunely":[128],"processed":[129],"classified.":[131],"The":[132],"aim":[133],"this":[135],"paper":[136],"improve":[139],"performance":[141],"classification":[144],"tasks":[145],"sensors":[155],"logistic":[157],"regression.":[158],"shown":[160],"experimental":[162],"results,":[163],"proposed":[165],"approach":[166],"improves":[167],"state-of-the-art":[169],"methods":[170],"terms":[172],"accuracy.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}