{"id":"https://openalex.org/W1983165722","doi":"https://doi.org/10.1016/j.procs.2014.08.229","title":"Analysis and Identification of the EEG Signals from Visual Stimulation","display_name":"Analysis and Identification of the EEG Signals from Visual Stimulation","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1983165722","doi":"https://doi.org/10.1016/j.procs.2014.08.229","mag":"1983165722"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2014.08.229","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2014.08.229","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2014.08.229","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073094709","display_name":"Mineyuki Tsuda","orcid":null},"institutions":[{"id":"https://openalex.org/I75198481","display_name":"Wakayama University","ror":"https://ror.org/05wr49d48","country_code":"JP","type":"education","lineage":["https://openalex.org/I75198481"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Mineyuki Tsuda","raw_affiliation_strings":["Wakayama Umiversity, 930 Sakaedani, Wakayama City, 640-8510, Japan"],"affiliations":[{"raw_affiliation_string":"Wakayama Umiversity, 930 Sakaedani, Wakayama City, 640-8510, Japan","institution_ids":["https://openalex.org/I75198481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028576035","display_name":"Yankun Lang","orcid":"https://orcid.org/0000-0001-9823-3264"},"institutions":[{"id":"https://openalex.org/I75198481","display_name":"Wakayama University","ror":"https://ror.org/05wr49d48","country_code":"JP","type":"education","lineage":["https://openalex.org/I75198481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yankun Lang","raw_affiliation_strings":["Wakayama Umiversity, 930 Sakaedani, Wakayama City, 640-8510, Japan"],"affiliations":[{"raw_affiliation_string":"Wakayama Umiversity, 930 Sakaedani, Wakayama City, 640-8510, Japan","institution_ids":["https://openalex.org/I75198481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100555109","display_name":"Haiyuan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I75198481","display_name":"Wakayama University","ror":"https://ror.org/05wr49d48","country_code":"JP","type":"education","lineage":["https://openalex.org/I75198481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haiyuan Wu","raw_affiliation_strings":["Wakayama Umiversity, 930 Sakaedani, Wakayama City, 640-8510, Japan"],"affiliations":[{"raw_affiliation_string":"Wakayama Umiversity, 930 Sakaedani, Wakayama City, 640-8510, Japan","institution_ids":["https://openalex.org/I75198481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073094709"],"corresponding_institution_ids":["https://openalex.org/I75198481"],"apc_list":null,"apc_paid":null,"fwci":0.176,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.50788165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"35","issue":null,"first_page":"1292","last_page":"1299"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9944999814033508,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9833999872207642,"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/computer-science","display_name":"Computer science","score":0.802183985710144},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7786816954612732},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7533324956893921},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7479619979858398},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7364690899848938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6410956978797913},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.504876434803009},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.46204066276550293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.802183985710144},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7786816954612732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7533324956893921},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7479619979858398},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7364690899848938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6410956978797913},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.504876434803009},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46204066276550293},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2014.08.229","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2014.08.229","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2014.08.229","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2014.08.229","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G8080119200","display_name":null,"funder_award_id":"24500205","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1975226595","https://openalex.org/W2157184819","https://openalex.org/W2160722169","https://openalex.org/W2169756567","https://openalex.org/W2169866873","https://openalex.org/W2170821486"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W3011538607","https://openalex.org/W4294432981","https://openalex.org/W4321441197","https://openalex.org/W4402452563","https://openalex.org/W2922348724","https://openalex.org/W200322357"],"abstract_inverted_index":{"In":[0,50],"this":[1],"paper,":[2],"we":[3,68,87],"describe":[4],"a":[5],"method":[6,105,132],"for":[7,76,102],"analysis":[8,32,112],"and":[9,31,48,73,117],"identification":[10,55,137],"of":[11,41,61,83,93,126,136],"Electroencephalography":[12],"(EEG)":[13],"about":[14],"visual":[15,43],"stimulation.":[16],"Here,":[17],"ODDBALL":[18],"task":[19],"has":[20,128],"been":[21,122],"performed":[22],"by":[23],"using":[24,109],"4":[25,98],"different":[26,99],"categories":[27],"images":[28],"to":[29,52],"measure":[30],"the":[33,38,42,54,59,65,78,81,84,94,104,124],"EEG":[34],"Signals,":[35],"after":[36],"which":[37,91,127],"P300":[39],"information":[40],"stimulation":[44],"can":[45],"be":[46],"detected":[47],"identified.":[49],"order":[51],"improve":[53],"ratio":[56],"while":[57],"avoiding":[58],"effects":[60],"noise,":[62],"1)":[63],"in":[64],"pre-processing":[66],"stage,":[67],"perform":[69],"Normalization,":[70],"Gaussian":[71],"filter,":[72],"Non-maximum":[74],"Suppression":[75],"emphasizing":[77],"patterns":[79],"around":[80],"peak":[82],"P300;":[85],"2)":[86],"construct":[88],"high-dimensional":[89],"vector":[90],"consists":[92],"data":[95],"obtained":[96],"from":[97],"electrodes.":[100],"Experiments":[101],"comparing":[103],"proposed":[106],"with":[107],"others":[108],"Linear":[110],"discriminant":[111],"(LDA),":[113],"K-nearest":[114],"neighbour":[115],"(k-NN)":[116],"Nearest":[118],"mean":[119],"(NM)":[120],"have":[121],"implemented,":[123],"results":[125],"confirmed":[129],"that":[130],"our":[131],"owns":[133],"an":[134],"improvement":[135],"ratio.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
