{"id":"https://openalex.org/W4312352377","doi":"https://doi.org/10.1145/3545729.3545763","title":"EEG-Based Drivers Mental Fatigue Detection Using ERD/ERS and Hurst Exponent","display_name":"EEG-Based Drivers Mental Fatigue Detection Using ERD/ERS and Hurst Exponent","publication_year":2022,"publication_date":"2022-05-13","ids":{"openalex":"https://openalex.org/W4312352377","doi":"https://doi.org/10.1145/3545729.3545763"},"language":"en","primary_location":{"id":"doi:10.1145/3545729.3545763","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3545729.3545763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 6th International Conference on Medical and Health Informatics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077722523","display_name":"Diana Guadalupe Gonz\u00e1lez-Rodr\u00edguez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090124","display_name":"Tecnol\u00f3gico Nacional de M\u00e9xico","ror":"https://ror.org/00davry38","country_code":"MX","type":"government","lineage":["https://openalex.org/I1302736544","https://openalex.org/I4210090124","https://openalex.org/I4405258672"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Diana Guadalupe Gonz\u00e1lez-Rodr\u00edguez","raw_affiliation_strings":["Division of Studies and Postgraduate Research, National Technological Institute of Mexico (TecNM) / IT Nuevo Leon, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Studies and Postgraduate Research, National Technological Institute of Mexico (TecNM) / IT Nuevo Leon, Mexico","institution_ids":["https://openalex.org/I4210090124"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061725990","display_name":"Dulce Martinez-Pe\u00f3n","orcid":"https://orcid.org/0000-0002-3687-5963"},"institutions":[{"id":"https://openalex.org/I4210090124","display_name":"Tecnol\u00f3gico Nacional de M\u00e9xico","ror":"https://ror.org/00davry38","country_code":"MX","type":"government","lineage":["https://openalex.org/I1302736544","https://openalex.org/I4210090124","https://openalex.org/I4405258672"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Dulce Martinez-Peon","raw_affiliation_strings":["Electric and Electronics Department, TecNM / IT Nuevo Leon, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric and Electronics Department, TecNM / IT Nuevo Leon, Mexico","institution_ids":["https://openalex.org/I4210090124"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017269366","display_name":"X\u00f3chitl Ang\u00e9lica Ortiz Jim\u00e9nez","orcid":null},"institutions":[{"id":"https://openalex.org/I169046204","display_name":"Universidad Aut\u00f3noma de Nuevo Le\u00f3n","ror":"https://ror.org/01fh86n78","country_code":"MX","type":"education","lineage":["https://openalex.org/I169046204"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Xochitl Ang\u00e9lica Ortiz Jim\u00e9nez","raw_affiliation_strings":["Faculty of Psychology and Neuroplasticity and Neuromodulation Unity at Center for Research and Development in Health Sciences (CIDICS), Universidad Autonoma de Nuevo Leon (UANL), Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Psychology and Neuroplasticity and Neuromodulation Unity at Center for Research and Development in Health Sciences (CIDICS), Universidad Autonoma de Nuevo Leon (UANL), Mexico","institution_ids":["https://openalex.org/I169046204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027563806","display_name":"Juan Fernando G\u00f3ngora-Rivera","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100904","display_name":"Hospital Zambrano Hellion","ror":"https://ror.org/011gp7f64","country_code":"MX","type":"healthcare","lineage":["https://openalex.org/I4210100904"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Juan Fernando G\u00f3ngora-Rivera","raw_affiliation_strings":["Faculty of Medicine and Neurology Department, University's Hospital and Center for Research and Development in Health Sciences (CIDICS), Mexico and Institute of Neurology and Neurosurgery at Zambrano Hellion Medical Center, Tec Salud, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Medicine and Neurology Department, University's Hospital and Center for Research and Development in Health Sciences (CIDICS), Mexico and Institute of Neurology and Neurosurgery at Zambrano Hellion Medical Center, Tec Salud, Mexico","institution_ids":["https://openalex.org/I4210100904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079342607","display_name":"Francisco Gerardo Benavides-Bravo","orcid":"https://orcid.org/0000-0002-4596-831X"},"institutions":[{"id":"https://openalex.org/I4210090124","display_name":"Tecnol\u00f3gico Nacional de M\u00e9xico","ror":"https://ror.org/00davry38","country_code":"MX","type":"government","lineage":["https://openalex.org/I1302736544","https://openalex.org/I4210090124","https://openalex.org/I4405258672"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Francisco Gerardo Benavides-Bravo","raw_affiliation_strings":["Department of Basic Sciences, TecNM/ IT Nuevo Leon, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Basic Sciences, TecNM/ IT Nuevo Leon, Mexico","institution_ids":["https://openalex.org/I4210090124"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073367640","display_name":"Brayan Soria Rodr\u00edguez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brayan Soria Rodr\u00edguez","raw_affiliation_strings":["Faculty of Biomedical Engineering, UANL, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Biomedical Engineering, UANL, Mexico","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049708240","display_name":"Mariana Ru\u00edz Vel\u00e1zquez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090124","display_name":"Tecnol\u00f3gico Nacional de M\u00e9xico","ror":"https://ror.org/00davry38","country_code":"MX","type":"government","lineage":["https://openalex.org/I1302736544","https://openalex.org/I4210090124","https://openalex.org/I4405258672"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Mariana Ru\u00edz Vel\u00e1zquez","raw_affiliation_strings":["Electric and Electronics Department, TecNM / IT Nuevo Leon, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric and Electronics Department, TecNM / IT Nuevo Leon, Mexico","institution_ids":["https://openalex.org/I4210090124"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2898,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57836257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9994000196456909,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.953000009059906,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9402999877929688,"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/hurst-exponent","display_name":"Hurst exponent","score":0.9328750371932983},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.786941647529602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5441126227378845},{"id":"https://openalex.org/keywords/detrended-fluctuation-analysis","display_name":"Detrended fluctuation analysis","score":0.5301528573036194},{"id":"https://openalex.org/keywords/exponent","display_name":"Exponent","score":0.4805489182472229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43361443281173706},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4201580882072449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37942713499069214},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35646241903305054},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2516581416130066},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24003326892852783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19647815823554993},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1521366536617279}],"concepts":[{"id":"https://openalex.org/C96835011","wikidata":"https://www.wikidata.org/wiki/Q1638718","display_name":"Hurst exponent","level":2,"score":0.9328750371932983},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.786941647529602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5441126227378845},{"id":"https://openalex.org/C21689155","wikidata":"https://www.wikidata.org/wiki/Q2451452","display_name":"Detrended fluctuation analysis","level":3,"score":0.5301528573036194},{"id":"https://openalex.org/C2780388253","wikidata":"https://www.wikidata.org/wiki/Q5421508","display_name":"Exponent","level":2,"score":0.4805489182472229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43361443281173706},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4201580882072449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37942713499069214},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35646241903305054},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2516581416130066},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24003326892852783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19647815823554993},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1521366536617279},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3545729.3545763","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3545729.3545763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 6th International Conference on Medical and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.550000011920929,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1974687042","https://openalex.org/W1995036688","https://openalex.org/W2005305331","https://openalex.org/W2007813379","https://openalex.org/W2032516896","https://openalex.org/W2049016639","https://openalex.org/W2054674045","https://openalex.org/W2062578372","https://openalex.org/W2075149264","https://openalex.org/W2098348353","https://openalex.org/W2099915368","https://openalex.org/W2118492722","https://openalex.org/W2151315308","https://openalex.org/W2220541428","https://openalex.org/W2933338709","https://openalex.org/W2948471128","https://openalex.org/W2998984254","https://openalex.org/W3008185230","https://openalex.org/W3022294816","https://openalex.org/W3098796361","https://openalex.org/W3102628382","https://openalex.org/W4205700569","https://openalex.org/W4237513721"],"related_works":["https://openalex.org/W4321505114","https://openalex.org/W2401810189","https://openalex.org/W2057384585","https://openalex.org/W2035064929","https://openalex.org/W2073997720","https://openalex.org/W2795419853","https://openalex.org/W2911012399","https://openalex.org/W2125635163","https://openalex.org/W2997775184","https://openalex.org/W2058567967"],"abstract_inverted_index":{"Numerous":[0],"studies":[1],"are":[2,100],"tackling":[3],"mental":[4,15,51,103,150,201,225],"fatigue":[5,52,104,151,202],"due":[6],"to":[7,66,223],"the":[8,29,58,63,70,81,97,147,184,197,208],"high":[9],"number":[10],"of":[11,19,28,62,73,200],"accidents":[12],"caused":[13],"by":[14],"fatigue.":[16,226],"The":[17,109,122,155,178],"requirement":[18],"real-time":[20],"detection":[21,53],"allows":[22],"that":[23,153,164,207,216],"EEG":[24,55,74],"measurement":[25],"is":[26,35,47,105,195,205],"one":[27],"most":[30],"feasible":[31],"options":[32],"because":[33,61],"it":[34,46,68,77],"non-invasive":[36],"and":[37,69,76,89,93,119,137,142,174,183],"low":[38],"cost,":[39],"against":[40],"other":[41],"techniques.":[42],"In":[43],"this":[44],"paper,":[45],"proposed":[48],"a":[49,132,188,213],"drivers\u2019":[50],"through":[54],"signals":[56],"using":[57,157],"Hurst":[59,185,209],"exponent,":[60],"simple":[64],"calculations":[65],"obtain":[67],"fractal":[71],"nature":[72],"signals,":[75],"was":[78,111],"compared":[79],"with":[80],"event-related":[82],"desynchronization/":[83],"synchronization":[84,138],"(ERD/ERS).":[85],"Frontocentral":[86],"(FC3)":[87],"right":[88],"left":[90],"parietal":[91],"(P3":[92],"P4)":[94],"regions":[95,101],"in":[96,126,134,139,152,191],"alpha-band,":[98],"which":[99,194],"where":[102,196],"detected,":[106],"were":[107],"analyzed.":[108],"task":[110],"divided":[112],"into":[113],"3":[114],"blocks":[115],"at":[116,167],"2,":[117,193],"25,":[118],"40":[120],"minutes.":[121],"results":[123,156,179],"for":[124,161,171,181],"ERD/ERS":[125,182],"block":[127,162,192],"2":[128,163],"(25":[129],"minutes)":[130],"showed":[131,160,187],"desynchronization":[133],"electrode":[135,168],"FC3":[136],"electrodes":[140,172],"P3":[141,173],"P4,":[143],"these":[144],"changes":[145],"indicate":[146],"subjects":[148],"presented":[149],"block.":[154],"Hurst\u2019s":[158],"exponent":[159,186,210],"persistence":[165,176],"decays":[166],"FC3,":[169],"while":[170],"P4":[175],"increases.":[177],"found":[180],"positive":[189],"correlation":[190],"first":[198],"symptoms":[199],"appear.":[203],"It":[204],"concluded":[206],"can":[211,217],"be":[212,218],"potential":[214],"tool":[215],"used":[219],"as":[220],"an":[221],"indicator":[222],"detect":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
