{"id":"https://openalex.org/W2239764513","doi":"https://doi.org/10.1186/s13637-016-0043-z","title":"A new method to detect event-related potentials based on Pearson\u2019s correlation","display_name":"A new method to detect event-related potentials based on Pearson\u2019s correlation","publication_year":2016,"publication_date":"2016-06-06","ids":{"openalex":"https://openalex.org/W2239764513","doi":"https://doi.org/10.1186/s13637-016-0043-z","mag":"2239764513","pmid":"https://pubmed.ncbi.nlm.nih.gov/27335578"},"language":"en","primary_location":{"id":"doi:10.1186/s13637-016-0043-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13637-016-0043-z","pdf_url":"https://bsb-eurasipjournals.springeropen.com/track/pdf/10.1186/s13637-016-0043-z","source":{"id":"https://openalex.org/S22696228","display_name":"EURASIP Journal on Bioinformatics and Systems Biology","issn_l":"1687-4145","issn":["1687-4145","1687-4153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Bioinformatics and Systems Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://bsb-eurasipjournals.springeropen.com/track/pdf/10.1186/s13637-016-0043-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070535702","display_name":"William Giroldini","orcid":"https://orcid.org/0000-0001-7226-9947"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"William Giroldini","raw_affiliation_strings":["EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023 Florence, Italy","EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023 Florence, Italy","institution_ids":[]},{"raw_affiliation_string":"EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023, Florence, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085042899","display_name":"Luciano Pederzoli","orcid":"https://orcid.org/0000-0003-1337-8320"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luciano Pederzoli","raw_affiliation_strings":["EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023 Florence, Italy","EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023 Florence, Italy","institution_ids":[]},{"raw_affiliation_string":"EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023, Florence, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056830282","display_name":"Marco Bilucaglia","orcid":"https://orcid.org/0000-0002-8718-2825"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Bilucaglia","raw_affiliation_strings":["EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023 Florence, Italy","EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023 Florence, Italy","institution_ids":[]},{"raw_affiliation_string":"EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023, Florence, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020089685","display_name":"Simone Melloni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simone Melloni","raw_affiliation_strings":["EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023 Florence, Italy","EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023 Florence, Italy","institution_ids":[]},{"raw_affiliation_string":"EvanLab, Via dei Ricci, 22 - 50023 Impruneta, 50023, Florence, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030598317","display_name":"Patrizio Tressoldi","orcid":"https://orcid.org/0000-0002-6404-0058"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Patrizio Tressoldi","raw_affiliation_strings":["Dipartimento di Psicologia Generale, Universit\u00e0 di Padova, via Venezia, 8, 35131 Padova, Italy","Dipartimento di Psicologia Generale, Universit\u00e0 di Padova, via Venezia, 8, 35131, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Psicologia Generale, Universit\u00e0 di Padova, via Venezia, 8, 35131 Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Dipartimento di Psicologia Generale, Universit\u00e0 di Padova, via Venezia, 8, 35131, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030598317"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":1.1658,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.76789388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2016","issue":"1","first_page":"11","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9950000047683716,"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":0.9950000047683716,"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/T10320","display_name":"Neural Networks and Applications","score":0.9850999712944031,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7040542364120483},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.691003143787384},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5334314107894897},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5274294018745422},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4540281593799591},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2944297194480896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12327179312705994}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7040542364120483},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.691003143787384},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5334314107894897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5274294018745422},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4540281593799591},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2944297194480896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12327179312705994},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s13637-016-0043-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13637-016-0043-z","pdf_url":"https://bsb-eurasipjournals.springeropen.com/track/pdf/10.1186/s13637-016-0043-z","source":{"id":"https://openalex.org/S22696228","display_name":"EURASIP Journal on Bioinformatics and Systems Biology","issn_l":"1687-4145","issn":["1687-4145","1687-4153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Bioinformatics and Systems Biology","raw_type":"journal-article"},{"id":"pmid:27335578","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27335578","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":"EURASIP journal on bioinformatics & systems biology","raw_type":null},{"id":"pmh:oai:www.research.unipd.it:11577/3188346","is_oa":true,"landing_page_url":"http://hdl.handle.net/11577/3188346","pdf_url":"https://bsb-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13637-016-0043-z","source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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:europepmc.org:3877667","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4894923","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":"Text"}],"best_oa_location":{"id":"doi:10.1186/s13637-016-0043-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13637-016-0043-z","pdf_url":"https://bsb-eurasipjournals.springeropen.com/track/pdf/10.1186/s13637-016-0043-z","source":{"id":"https://openalex.org/S22696228","display_name":"EURASIP Journal on Bioinformatics and Systems Biology","issn_l":"1687-4145","issn":["1687-4145","1687-4153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Bioinformatics and Systems Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6200000047683716,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4724145955","display_name":null,"funder_award_id":"124/12","funder_id":"https://openalex.org/F4320323074","funder_display_name":"Funda\u00e7\u00e3o Bial"}],"funders":[{"id":"https://openalex.org/F4320323074","display_name":"Funda\u00e7\u00e3o Bial","ror":"https://ror.org/02htdjb57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2239764513.pdf","grobid_xml":"https://content.openalex.org/works/W2239764513.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W23200839","https://openalex.org/W1536620489","https://openalex.org/W1608735834","https://openalex.org/W1981276685","https://openalex.org/W1983771945","https://openalex.org/W1984441060","https://openalex.org/W1990168470","https://openalex.org/W1999783865","https://openalex.org/W2009814490","https://openalex.org/W2021345747","https://openalex.org/W2023375880","https://openalex.org/W2023675594","https://openalex.org/W2038664603","https://openalex.org/W2039646264","https://openalex.org/W2040023860","https://openalex.org/W2062377220","https://openalex.org/W2077594923","https://openalex.org/W2091053014","https://openalex.org/W2096450505","https://openalex.org/W2113451446","https://openalex.org/W2127492761","https://openalex.org/W2148270649","https://openalex.org/W2154735314","https://openalex.org/W2155588505","https://openalex.org/W2157659878","https://openalex.org/W2157765880","https://openalex.org/W2164415070","https://openalex.org/W2169064120","https://openalex.org/W2222710212","https://openalex.org/W3144154667","https://openalex.org/W4212774754"],"related_works":["https://openalex.org/W3013810674","https://openalex.org/W3111706109","https://openalex.org/W2038897217","https://openalex.org/W4200439127","https://openalex.org/W2344731424","https://openalex.org/W2774201806","https://openalex.org/W2160799121","https://openalex.org/W2014529756","https://openalex.org/W2943829869","https://openalex.org/W2792256792"],"abstract_inverted_index":{"Event-related":[0],"potentials":[1],"(ERPs)":[2],"are":[3,191,196,304],"widely":[4],"used":[5,95,309],"in":[6,11,18,23,199,297,310,317,330],"brain-computer":[7],"interface":[8],"applications":[9,269],"and":[10,21,60,114,153,181,194,202,266,272,292,299,323,327],"neuroscience.":[12],"Normal":[13],"EEG":[14,50,166,240,283],"activity":[15,51],"is":[16,29,53,68,83,90,100,124,141,175,279],"rich":[17],"background":[19],"noise,":[20],"therefore,":[22],"order":[24],"to":[25,32,39,75,96,217,257,267,282],"detect":[26,97],"ERPs,":[27,98],"it":[28],"usually":[30,197],"necessary":[31],"take":[33],"the":[34,41,57,64,66,76,84,91,104,128,145,150,160,164,187,200,207,211,227,235,263,286,290,311,318],"average":[35,105,291],"from":[36],"multiple":[37],"trials":[38],"reduce":[40],"effects":[42],"of":[43,79,86,106,186,209,226,262,289,313],"this":[44,117,248,250,276],"noise.":[45],"The":[46,139,301],"noise":[47,67],"produced":[48],"by":[49,62,70,220],"itself":[52],"not":[54,192],"correlated":[55],"with":[56,144,163],"ERP":[58,129,152,188,264],"waveform":[59],"so,":[61],"calculating":[63,103],"average,":[65],"decreased":[69],"a":[71,119,131,142,243,314],"factor":[72],"inversely":[73],"proportional":[74],"square":[77],"root":[78],"<i>N</i>,":[80],"where":[81],"<i>N</i>":[82],"number":[85],"averaged":[87],"epochs.":[88,212],"This":[89,172],"easiest":[92],"strategy":[93],"currently":[94],"which":[99,126,154],"based":[101,134,205],"on":[102,136,206],"all":[107,170,210,239],"ERP's":[108,228],"waveform,":[109],"these":[110,259],"waveforms":[111],"being":[112],"time-":[113],"phase-locked.":[115],"In":[116],"paper,":[118],"new":[120,173,251,277],"method":[121,133,174,204,252,278,302],"called":[122],"GW6":[123],"proposed,":[125],"calculates":[127],"using":[130],"mathematical":[132],"only":[135,156],"Pearson's":[137],"correlation.":[138],"result":[140],"graph":[143],"same":[146,236],"time":[147],"resolution":[148],"as":[149],"classical":[151],"shows":[155],"positive":[157],"peaks":[158],"representing":[159],"increase-in":[161],"consonance":[162],"stimuli-in":[165],"signal":[167],"correlation":[168],"over":[169],"channels.":[171],"also":[176],"useful":[177,296],"for":[178,270],"selectively":[179],"identifying":[180],"highlighting":[182],"some":[183],"hidden":[184,198,214,260],"components":[185,215,261],"response":[189,265],"that":[190,195],"phase-locked,":[193],"standard":[201,287],"simple":[203],"averaging":[208],"These":[213],"seem":[216],"be":[218,254,294,307,325],"caused":[219],"variations":[221],"(between":[222],"each":[223],"successive":[224],"stimulus)":[225],"inherent":[229],"phase":[230],"latency":[231],"period":[232],"(jitter),":[233],"although":[234],"stimulus":[237],"across":[238],"channels":[241],"produces":[242],"reasonably":[244],"constant":[245],"phase.":[246],"For":[247],"reason,":[249],"could":[253,293],"very":[255,295],"helpful":[256],"investigate":[258],"develop":[268],"scientific":[271],"medical":[273],"purposes.":[274],"Moreover,":[275],"more":[280],"resistant":[281],"artifacts":[284],"than":[285],"calculations":[288],"research":[298],"neurology.":[300],"we":[303],"proposing":[305],"can":[306,324],"directly":[308],"form":[312],"process":[315],"written":[316,329],"well-known":[319],"Matlab":[320],"programming":[321],"language":[322],"easily":[326],"quickly":[328],"any":[331],"other":[332],"software":[333],"language.":[334]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
