{"id":"https://openalex.org/W2222075133","doi":"https://doi.org/10.1155/2016/2029791","title":"P300 Detection Based on EEG Shape Features","display_name":"P300 Detection Based on EEG Shape Features","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2222075133","doi":"https://doi.org/10.1155/2016/2029791","mag":"2222075133","pmid":"https://pubmed.ncbi.nlm.nih.gov/26881010"},"language":"en","primary_location":{"id":"doi:10.1155/2016/2029791","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/2029791","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2016/2029791.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/cmmm/2016/2029791.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019730606","display_name":"Montserrat Alvarado-Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-3163-0537"},"institutions":[{"id":"https://openalex.org/I8961855","display_name":"Universidad Nacional Aut\u00f3noma de M\u00e9xico","ror":"https://ror.org/01tmp8f25","country_code":"MX","type":"education","lineage":["https://openalex.org/I8961855"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Montserrat Alvarado-Gonz\u00e1lez","raw_affiliation_strings":["Graduate Program in Computer Science and Engineering, Universidad Nacional Aut\u00f3noma de M\u00e9xico, 04510 Mexico City, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Program in Computer Science and Engineering, Universidad Nacional Aut\u00f3noma de M\u00e9xico, 04510 Mexico City, Mexico","institution_ids":["https://openalex.org/I8961855"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067969093","display_name":"Edgar Gardu\u00f1o","orcid":"https://orcid.org/0000-0001-7262-4443"},"institutions":[{"id":"https://openalex.org/I8961855","display_name":"Universidad Nacional Aut\u00f3noma de M\u00e9xico","ror":"https://ror.org/01tmp8f25","country_code":"MX","type":"education","lineage":["https://openalex.org/I8961855"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Edgar Gardu\u00f1o","raw_affiliation_strings":["Department of Computer Science, Instituto de Investigaciones en Matem\u00e1ticas Aplicadas y en Sistemas, Universidad Nacional Aut\u00f3noma de M\u00e9xico, 04510 Mexico City, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Instituto de Investigaciones en Matem\u00e1ticas Aplicadas y en Sistemas, Universidad Nacional Aut\u00f3noma de M\u00e9xico, 04510 Mexico City, Mexico","institution_ids":["https://openalex.org/I8961855"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086607329","display_name":"Ernesto Bribiesca","orcid":"https://orcid.org/0000-0001-6663-9438"},"institutions":[{"id":"https://openalex.org/I8961855","display_name":"Universidad Nacional Aut\u00f3noma de M\u00e9xico","ror":"https://ror.org/01tmp8f25","country_code":"MX","type":"education","lineage":["https://openalex.org/I8961855"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Ernesto Bribiesca","raw_affiliation_strings":["Department of Computer Science, Instituto de Investigaciones en Matem\u00e1ticas Aplicadas y en Sistemas, Universidad Nacional Aut\u00f3noma de M\u00e9xico, 04510 Mexico City, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Instituto de Investigaciones en Matem\u00e1ticas Aplicadas y en Sistemas, Universidad Nacional Aut\u00f3noma de M\u00e9xico, 04510 Mexico City, Mexico","institution_ids":["https://openalex.org/I8961855"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053998821","display_name":"\u00d3scar Y\u00e1\u00f1ez-Su\u00e1rez","orcid":"https://orcid.org/0000-0002-4249-8877"},"institutions":[{"id":"https://openalex.org/I200362191","display_name":"Universidad Aut\u00f3noma Metropolitana","ror":"https://ror.org/02kta5139","country_code":"MX","type":"education","lineage":["https://openalex.org/I200362191"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Oscar Y\u00e1\u00f1ez-Su\u00e1rez","raw_affiliation_strings":["Neuroimaging Laboratory, Department of Electrical Engineering, Universidad Aut\u00f3noma Metropolitana, 09340 Mexico City, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroimaging Laboratory, Department of Electrical Engineering, Universidad Aut\u00f3noma Metropolitana, 09340 Mexico City, Mexico","institution_ids":["https://openalex.org/I200362191"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064600541","display_name":"Ver\u00f3nica Medina-Ba\u00f1uelos","orcid":"https://orcid.org/0000-0001-8072-3927"},"institutions":[{"id":"https://openalex.org/I200362191","display_name":"Universidad Aut\u00f3noma Metropolitana","ror":"https://ror.org/02kta5139","country_code":"MX","type":"education","lineage":["https://openalex.org/I200362191"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Ver\u00f3nica Medina-Ba\u00f1uelos","raw_affiliation_strings":["Neuroimaging Laboratory, Department of Electrical Engineering, Universidad Aut\u00f3noma Metropolitana, 09340 Mexico City, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroimaging Laboratory, Department of Electrical Engineering, Universidad Aut\u00f3noma Metropolitana, 09340 Mexico City, Mexico","institution_ids":["https://openalex.org/I200362191"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019730606"],"corresponding_institution_ids":["https://openalex.org/I8961855"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":2.354,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.8751082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"14"},"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":0.9983999729156494,"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":0.9973999857902527,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.613990843296051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5428100228309631},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5304866433143616},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5131300091743469},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5056016445159912},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.49324744939804077},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4749477207660675},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4514826238155365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4049842357635498},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25637829303741455},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1245562732219696}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.613990843296051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5428100228309631},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5304866433143616},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5131300091743469},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5056016445159912},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.49324744939804077},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4749477207660675},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4514826238155365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4049842357635498},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25637829303741455},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1245562732219696},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":"D002138","descriptor_name":"Calibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002138","descriptor_name":"Calibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002138","descriptor_name":"Calibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004566","descriptor_name":"Electrodes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004566","descriptor_name":"Electrodes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004566","descriptor_name":"Electrodes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","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":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","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":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018913","descriptor_name":"Event-Related Potentials, P300","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018913","descriptor_name":"Event-Related Potentials, P300","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018913","descriptor_name":"Event-Related Potentials, P300","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","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},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2016/2029791","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/2029791","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2016/2029791.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:26881010","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26881010","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":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:eb53ec356390417784f4504bfd1b3760","is_oa":true,"landing_page_url":"https://doaj.org/article/eb53ec356390417784f4504bfd1b3760","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":"Computational and Mathematical Methods in Medicine, Vol 2016 (2016)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:4736976","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4736976","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":"Comput Math Methods Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2016/2029791","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/2029791","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2016/2029791.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3873086252","display_name":null,"funder_award_id":"167254","funder_id":"https://openalex.org/F4320321739","funder_display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda"}],"funders":[{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2222075133.pdf","grobid_xml":"https://content.openalex.org/works/W2222075133.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1549518319","https://openalex.org/W1964530726","https://openalex.org/W1968219425","https://openalex.org/W1968715066","https://openalex.org/W1975226595","https://openalex.org/W1995871078","https://openalex.org/W2001905250","https://openalex.org/W2010220929","https://openalex.org/W2015730371","https://openalex.org/W2017337590","https://openalex.org/W2022538649","https://openalex.org/W2025619554","https://openalex.org/W2032463446","https://openalex.org/W2044527481","https://openalex.org/W2046348041","https://openalex.org/W2053344873","https://openalex.org/W2065006329","https://openalex.org/W2067932878","https://openalex.org/W2070913574","https://openalex.org/W2080044962","https://openalex.org/W2083412321","https://openalex.org/W2092194761","https://openalex.org/W2094017272","https://openalex.org/W2098100592","https://openalex.org/W2100470503","https://openalex.org/W2102919438","https://openalex.org/W2110545034","https://openalex.org/W2117023578","https://openalex.org/W2118681819","https://openalex.org/W2120613434","https://openalex.org/W2128716067","https://openalex.org/W2128909182","https://openalex.org/W2137252120","https://openalex.org/W2139989586","https://openalex.org/W2146949231","https://openalex.org/W2151503489","https://openalex.org/W2151669316","https://openalex.org/W2154330636","https://openalex.org/W2159318219","https://openalex.org/W2168689324","https://openalex.org/W2170821486","https://openalex.org/W2407467699","https://openalex.org/W2502759836","https://openalex.org/W2545747245","https://openalex.org/W4249754613","https://openalex.org/W4252125839"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W2090763504","https://openalex.org/W2025378473","https://openalex.org/W2355801475","https://openalex.org/W148178222","https://openalex.org/W4206659427","https://openalex.org/W2170062176","https://openalex.org/W2104657898","https://openalex.org/W2148135840"],"abstract_inverted_index":{"We":[0],"present":[1,28],"a":[2,7,10,29,49,60,64,70,128],"novel":[3],"approach":[4],"to":[5,53,62,121,158,163,174],"describe":[6],"P300":[8,75],"by":[9,22,48],"shape-feature":[11,38,94,110],"vector,":[12,39],"which":[13],"offers":[14],"several":[15],"advantages":[16],"over":[17],"the":[18,23,34,37,40,45,73,89,103,134,142,151,169],"feature":[19],"vector":[20,95,111],"used":[21],"BCI2000":[24],"system.":[25],"Additionally,":[26],"we":[27,57,166],"calibration":[30,135],"algorithm":[31,136],"that":[32,66,88,98,168],"reduces":[33],"dimensionality":[35,125],"of":[36,42,133,146,150],"number":[41],"trials,":[43],"and":[44],"electrodes":[46],"needed":[47,153],"Brain":[50],"Computer":[51],"Interface":[52],"accurately":[54],"detect":[55],"P300s;":[56],"also":[58,172],"define":[59],"method":[61],"find":[63],"template":[65],"best":[67],"represents,":[68],"for":[69,114],"given":[71],"electrode,":[72],"subject's":[74],"based":[76],"on":[77],"his/her":[78],"own":[79],"acquired":[80],"signals.":[81],"Our":[82],"experiments":[83],"with":[84,106],"21":[85],"subjects":[86,152],"showed":[87,137],"SWLDA's":[90],"performance":[91],"using":[92],"our":[93],"was":[96],"93%,":[97],"is,":[99],"10%":[100],"higher":[101],"than":[102,155],"one":[104],"obtained":[105],"BCI2000-feature's":[107],"vector.":[108],"The":[109,131],"is":[112,119],"34-dimensional":[113],"every":[115],"electrode;":[116],"however,":[117],"it":[118],"possible":[120],"significantly":[122],"reduce":[123],"its":[124],"while":[126],"keeping":[127],"high":[129],"sensitivity.":[130],"validation":[132],"an":[138,160],"averaged":[139],"area":[140],"under":[141],"ROC":[143],"(AUROC)":[144],"curve":[145],"0.88.":[147],"Also,":[148],"most":[149],"less":[154],"15":[156],"trials":[157],"have":[159],"AUROC":[161],"superior":[162],"0.8.":[164],"Finally,":[165],"found":[167],"electrode":[170],"C4":[171],"leads":[173],"better":[175],"classification.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
