{"id":"https://openalex.org/W2286439238","doi":"https://doi.org/10.1109/jbhi.2016.2532354","title":"Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System","display_name":"Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System","publication_year":2016,"publication_date":"2016-02-19","ids":{"openalex":"https://openalex.org/W2286439238","doi":"https://doi.org/10.1109/jbhi.2016.2532354","mag":"2286439238","pmid":"https://pubmed.ncbi.nlm.nih.gov/26915141"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2016.2532354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2016.2532354","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/43243/4/MED26915141%20am%20edited.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018877662","display_name":"Rifai Chai","orcid":"https://orcid.org/0000-0002-1922-7024"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Rifai Chai","raw_affiliation_strings":["Centre for Health Technologies, University of Technology, Sydney, N.S.W., Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Health Technologies, University of Technology, Sydney, N.S.W., Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029523168","display_name":"Ganesh R. Naik","orcid":"https://orcid.org/0000-0003-1790-9838"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ganesh R. Naik","raw_affiliation_strings":["Centre for Health Technologies, University of Technology, Sydney, N.S.W., Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Health Technologies, University of Technology, Sydney, N.S.W., Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024125565","display_name":"Tuan Nghia Nguyen","orcid":"https://orcid.org/0000-0002-9958-9876"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tuan Nghia Nguyen","raw_affiliation_strings":["Centre for Health Technologies, University of Technology, Sydney, N.S.W., Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Health Technologies, University of Technology, Sydney, N.S.W., Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079852457","display_name":"Sai Ho Ling","orcid":"https://orcid.org/0000-0003-0849-5098"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sai Ho Ling","raw_affiliation_strings":["Centre for Health Technologies, University of Technology, Sydney, N.S.W., Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Health Technologies, University of Technology, Sydney, N.S.W., Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040544025","display_name":"Yvonne Tran","orcid":"https://orcid.org/0000-0002-1741-4205"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yvonne Tran","raw_affiliation_strings":["Centre for Health Technologies, University of Technology, Sydney, N.S.W., Australia","Kolling Institute of Medical Research, University of Sydney, Sydney, N.S.W., Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Health Technologies, University of Technology, Sydney, N.S.W., Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Kolling Institute of Medical Research, University of Sydney, Sydney, N.S.W., Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051531420","display_name":"Ashley Craig","orcid":"https://orcid.org/0000-0001-7647-7604"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ashley Craig","raw_affiliation_strings":["Kolling Institute of Medical Research, University of Sydney, Sydney, N.S.W., Australia"],"affiliations":[{"raw_affiliation_string":"Kolling Institute of Medical Research, University of Sydney, Sydney, N.S.W., Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716476","display_name":"Hung T. Nguyen","orcid":"https://orcid.org/0000-0003-3373-8178"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hung T. Nguyen","raw_affiliation_strings":["Centre for Health Technologies, University of Technology, Sydney, N.S.W., Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Health Technologies, University of Technology, Sydney, N.S.W., Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5018877662"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":16.0258,"has_fulltext":true,"cited_by_count":249,"citation_normalized_percentile":{"value":0.99498296,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"21","issue":"3","first_page":"715","last_page":"724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9988999962806702,"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":0.9988999962806702,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6603698134422302},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.6448004245758057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6054302453994751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5966399312019348},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5770995020866394},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.558850884437561},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5238040685653687},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4747926592826843},{"id":"https://openalex.org/keywords/sample-entropy","display_name":"Sample entropy","score":0.46076205372810364},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.43024975061416626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22981193661689758},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21037361025810242},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20292866230010986}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6603698134422302},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.6448004245758057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6054302453994751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5966399312019348},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5770995020866394},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.558850884437561},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5238040685653687},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4747926592826843},{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.46076205372810364},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.43024975061416626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22981193661689758},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21037361025810242},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20292866230010986},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","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":"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":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005221","descriptor_name":"Fatigue","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D005221","descriptor_name":"Fatigue","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D005221","descriptor_name":"Fatigue","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D005221","descriptor_name":"Fatigue","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D005221","descriptor_name":"Fatigue","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D005221","descriptor_name":"Fatigue","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D005221","descriptor_name":"Fatigue","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":true},{"descriptor_ui":"D005221","descriptor_name":"Fatigue","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":true},{"descriptor_ui":"D005221","descriptor_name":"Fatigue","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":true},{"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":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","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":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","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}],"locations_count":4,"locations":[{"id":"doi:10.1109/jbhi.2016.2532354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2016.2532354","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:26915141","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26915141","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":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/43243","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/43243","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/43243/4/MED26915141%20am%20edited.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:59173bef-e37a-4efe-af87-b8caab37b605/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/440609","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics, Vol. 21, no. 3 (May 2017), pp. 715-724","raw_type":""}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/43243","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/43243","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/43243/4/MED26915141%20am%20edited.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2286439238.pdf","grobid_xml":"https://content.openalex.org/works/W2286439238.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1967850804","https://openalex.org/W1974687042","https://openalex.org/W1975669925","https://openalex.org/W1978431198","https://openalex.org/W1980643059","https://openalex.org/W2001338951","https://openalex.org/W2017603933","https://openalex.org/W2027856458","https://openalex.org/W2035182037","https://openalex.org/W2038010805","https://openalex.org/W2039274997","https://openalex.org/W2040776814","https://openalex.org/W2043133488","https://openalex.org/W2054237600","https://openalex.org/W2055049416","https://openalex.org/W2063666090","https://openalex.org/W2071878275","https://openalex.org/W2076079247","https://openalex.org/W2078707072","https://openalex.org/W2079167592","https://openalex.org/W2085986654","https://openalex.org/W2086028134","https://openalex.org/W2093313017","https://openalex.org/W2095310269","https://openalex.org/W2098328473","https://openalex.org/W2115287456","https://openalex.org/W2117100955","https://openalex.org/W2117470462","https://openalex.org/W2122757225","https://openalex.org/W2125087714","https://openalex.org/W2126785585","https://openalex.org/W2134738818","https://openalex.org/W2145482409","https://openalex.org/W2149407814","https://openalex.org/W2157765880","https://openalex.org/W2158698691","https://openalex.org/W2205887246","https://openalex.org/W2480645629","https://openalex.org/W2903013920","https://openalex.org/W2905584909","https://openalex.org/W4211026550","https://openalex.org/W4388297464","https://openalex.org/W6683344597","https://openalex.org/W6687901878","https://openalex.org/W6756838220"],"related_works":["https://openalex.org/W2121429698","https://openalex.org/W2182042810","https://openalex.org/W4252230435","https://openalex.org/W55679925","https://openalex.org/W3080404860","https://openalex.org/W2046761971","https://openalex.org/W3144722888","https://openalex.org/W2364896863","https://openalex.org/W2389189059","https://openalex.org/W2022287597"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,56,60,88,133],"two-class":[4],"electroencephal-ography-based":[5],"classification":[6,50,53],"for":[7,33,40,48,132,136],"classifying":[8],"of":[9,58,62,67,71,96,122],"driver":[10,137],"fatigue":[11,138],"(fatigue":[12],"state":[13],"versus":[14],"alert":[15],"state)":[16],"from":[17],"43":[18],"healthy":[19],"participants.":[20],"The":[21,52,69,120],"system":[22],"uses":[23],"independent":[24],"component":[25],"by":[26],"entropy":[27],"rate":[28],"bound":[29],"minimization":[30],"analysis":[31],"(ERBM-ICA)":[32],"the":[34,41,49,84,93,99,126],"source":[35],"separation,":[36],"autoregressive":[37],"(AR)":[38],"modeling":[39],"features":[42],"extraction,":[43],"and":[44,64,78,140],"Bayesian":[45,79],"neural":[46,80],"network":[47,81],"algorithm.":[51],"results":[54,121],"demonstrate":[55],"sensitivity":[57],"89.7%,":[59],"specificity":[61],"86.8%,":[63],"an":[65],"accuracy":[66],"88.2%.":[68],"combination":[70],"ERBM-ICA":[72],"(source":[73],"separator),":[74],"AR":[75],"(feature":[76],"extractor),":[77],"(classifier)":[82],"provides":[83],"best":[85],"outcome":[86],"with":[87,92],"p-value":[89],"<":[90],"0.05":[91],"highest":[94],"value":[95],"area":[97],"under":[98],"receiver":[100],"operating":[101],"curve":[102],"(AUC-ROC":[103,117],"=":[104,118],"0.93)":[105],"against":[106],"other":[107,141],"methods":[108],"such":[109],"as":[110,114],"power":[111],"spectral":[112],"density":[113],"feature":[115],"extractor":[116],"0.81).":[119],"this":[123],"study":[124],"suggest":[125],"method":[127],"could":[128],"be":[129],"utilized":[130],"effectively":[131],"countermeasure":[134],"device":[135],"identification":[139],"adverse":[142],"event":[143],"applications.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":31},{"year":2017,"cited_by_count":27},{"year":2016,"cited_by_count":7}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}