{"id":"https://openalex.org/W1505980726","doi":"https://doi.org/10.1109/cibcb.2004.1393943","title":"Classification of event-related potentials in individuals at risk for alcoholism using wavelet transform and artificial neural network","display_name":"Classification of event-related potentials in individuals at risk for alcoholism using wavelet transform and artificial neural network","publication_year":2005,"publication_date":"2005-03-21","ids":{"openalex":"https://openalex.org/W1505980726","doi":"https://doi.org/10.1109/cibcb.2004.1393943","mag":"1505980726"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb.2004.1393943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2004.1393943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing (IEEE Cat. No.04CH37612)","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/A5101618797","display_name":"C.D. Lopes","orcid":null},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"C.D. Lopes","raw_affiliation_strings":["Electrical Engineering Department, Universidade Federal do Rio Grande do SUI, Rio Grande do Sul, Brazil"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Universidade Federal do Rio Grande do SUI, Rio Grande do Sul, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012109896","display_name":"J.O. Mainardi","orcid":null},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"J.O. Mainardi","raw_affiliation_strings":["Electrical Engineering Department, Universidade Federal do Rio Grande do SUI, Rio Grande do Sul, Brazil"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Universidade Federal do Rio Grande do SUI, Rio Grande do Sul, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069965583","display_name":"Milton Ant\u00f4nio Zaro","orcid":"https://orcid.org/0000-0002-0459-8981"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M.A. Zaro","raw_affiliation_strings":["Universidade Federal do Rio Grande do SUI, Rio Grande do Sul, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do SUI, Rio Grande do Sul, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043190662","display_name":"Altamiro Susin","orcid":"https://orcid.org/0000-0001-7034-5336"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"A.A. Susin","raw_affiliation_strings":["Electrical Engineering Department, Universidade Federal do Rio Grande do SUI, Rio Grande do Sul, Brazil"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Universidade Federal do Rio Grande do SUI, Rio Grande do Sul, Brazil","institution_ids":["https://openalex.org/I130442723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101618797"],"corresponding_institution_ids":["https://openalex.org/I130442723"],"apc_list":null,"apc_paid":null,"fwci":0.2763,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.51839404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"123","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9972000122070312,"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":0.9972000122070312,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9587000012397766,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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":0.9571999907493591,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7160966396331787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.671961784362793},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6608141660690308},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6271172761917114},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6162968873977661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5878950357437134},{"id":"https://openalex.org/keywords/event-related-potential","display_name":"Event-related potential","score":0.5856878757476807},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5309972763061523},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.5124388337135315},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.47683873772621155},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.23060965538024902},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2023760974407196},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08609199523925781}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7160966396331787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.671961784362793},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6608141660690308},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6271172761917114},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6162968873977661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5878950357437134},{"id":"https://openalex.org/C67359045","wikidata":"https://www.wikidata.org/wiki/Q14026181","display_name":"Event-related potential","level":3,"score":0.5856878757476807},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5309972763061523},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.5124388337135315},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.47683873772621155},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.23060965538024902},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2023760974407196},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08609199523925781}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb.2004.1393943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2004.1393943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing (IEEE Cat. No.04CH37612)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7900000214576721,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W243476372","https://openalex.org/W1517313676","https://openalex.org/W1851940162","https://openalex.org/W1978183705","https://openalex.org/W2014030649","https://openalex.org/W2018014758","https://openalex.org/W2021288665","https://openalex.org/W2022817797","https://openalex.org/W2025754874","https://openalex.org/W2058192654","https://openalex.org/W2069888202","https://openalex.org/W2073834090","https://openalex.org/W2074030052","https://openalex.org/W2098914003","https://openalex.org/W2132984323","https://openalex.org/W2160837129","https://openalex.org/W2164001739","https://openalex.org/W4285719527","https://openalex.org/W4388337915","https://openalex.org/W6609308825","https://openalex.org/W6683808856"],"related_works":["https://openalex.org/W97768505","https://openalex.org/W2918103456","https://openalex.org/W2077021924","https://openalex.org/W2080531293","https://openalex.org/W2540883726","https://openalex.org/W3005666459","https://openalex.org/W4300200276","https://openalex.org/W4298020725","https://openalex.org/W2109530046","https://openalex.org/W1520502672"],"abstract_inverted_index":{"In":[0],"this":[1,41],"study":[2,42],"we":[3,83],"investigated":[4],"event":[5],"related-potential":[6],"(ERP)":[7],"component":[8],"c247,":[9],"which":[10],"reflects":[11],"the":[12,45,48,62,66,70,76,80,99,103,123,127,136,144,157],"recognition":[13],"process":[14],"in":[15,75,126],"two":[16],"classes":[17,108],"of":[18,31,40,47,53,87,105,109,122,138,156,162],"subject:":[19],"a":[20,29,96,130],"sample":[21,30],"with":[22,34,95,146],"high":[23],"risk":[24,36],"(HR)":[25],"for":[26,65,102,114,118],"alcoholism":[27,115],"and":[28,116,159],"control":[32],"subjects":[33],"low":[35],"(LR).":[37],"The":[38,120],"results":[39],"suggest":[43],"that":[44,134],"amplitude":[46],"c247":[49],"to":[50,61,151],"repeated":[51],"pictures":[52,64],"common":[54],"objects":[55],"was":[56,72,149],"decreased":[57],"significantly":[58],"as":[59],"compared":[60],"unrepeated":[63],"LR":[67,117,160],"group,":[68],"but":[69],"same":[71],"not":[73],"observed":[74],"HR":[77,113,158],"group.":[78],"For":[79],"matching":[81],"stimulus":[82],"describe":[84],"an":[85,88],"application":[86],"artificial":[89],"neural":[90],"network":[91,133,145],"(ANN)":[92],"technique":[93],"together":[94],"feature":[97],"extraction,":[98],"wavelet":[100,147],"transform,":[101],"classification":[104,128],"ERPs.":[106],"Two":[107],"ERP":[110],"were":[111],"used:":[112],"alcoholism.":[119],"architecture":[121],"ANN":[124],"used":[125],"is":[129],"three-layered":[131],"feedforward":[132],"implements":[135],"backpropagation":[137],"error":[139],"learning":[140],"algorithm.":[141],"After":[142],"training,":[143],"coefficients":[148],"able":[150],"correctly":[152],"classify":[153],"over":[154],"71%":[155],"class":[161],"ERP.":[163]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}