{"id":"https://openalex.org/W2291398256","doi":"https://doi.org/10.1109/bmei.2015.7401498","title":"Drowsiness estimation under driving environment by heart rate variability and/or breathing rate variability with logistic regression analysis","display_name":"Drowsiness estimation under driving environment by heart rate variability and/or breathing rate variability with logistic regression analysis","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2291398256","doi":"https://doi.org/10.1109/bmei.2015.7401498","mag":"2291398256"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2015.7401498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2015.7401498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","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/A5073508220","display_name":"Tomohiko Igasaki","orcid":"https://orcid.org/0000-0002-8745-5133"},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiko Igasaki","raw_affiliation_strings":["Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076455275","display_name":"Kazuki Nagasawa","orcid":"https://orcid.org/0000-0001-5717-4405"},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Nagasawa","raw_affiliation_strings":["Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009525811","display_name":"Nobuki Murayama","orcid":null},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuki Murayama","raw_affiliation_strings":["Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102050451","display_name":"Zhencheng Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhencheng Hu","raw_affiliation_strings":["Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96036126"],"apc_list":null,"apc_paid":null,"fwci":1.9422,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.87058284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"189","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9968000054359436,"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":0.9968000054359436,"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/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.8552950620651245},{"id":"https://openalex.org/keywords/heart-rate-variability","display_name":"Heart rate variability","score":0.8290799856185913},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.577747106552124},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5607048869132996},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5204803943634033},{"id":"https://openalex.org/keywords/breathing","display_name":"Breathing","score":0.5198398232460022},{"id":"https://openalex.org/keywords/respiratory-rate","display_name":"Respiratory rate","score":0.4116300046443939},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.39711207151412964},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3287741541862488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.27567973732948303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23694545030593872},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.21745920181274414},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1515078842639923},{"id":"https://openalex.org/keywords/anesthesia","display_name":"Anesthesia","score":0.1317969560623169}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.8552950620651245},{"id":"https://openalex.org/C71635504","wikidata":"https://www.wikidata.org/wiki/Q933954","display_name":"Heart rate variability","level":4,"score":0.8290799856185913},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.577747106552124},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5607048869132996},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5204803943634033},{"id":"https://openalex.org/C39300077","wikidata":"https://www.wikidata.org/wiki/Q9530","display_name":"Breathing","level":2,"score":0.5198398232460022},{"id":"https://openalex.org/C8213797","wikidata":"https://www.wikidata.org/wiki/Q754250","display_name":"Respiratory rate","level":4,"score":0.4116300046443939},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.39711207151412964},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3287741541862488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27567973732948303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23694545030593872},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.21745920181274414},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1515078842639923},{"id":"https://openalex.org/C42219234","wikidata":"https://www.wikidata.org/wiki/Q131130","display_name":"Anesthesia","level":1,"score":0.1317969560623169}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2015.7401498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2015.7401498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6399999856948853}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2512123678"],"related_works":["https://openalex.org/W4285065250","https://openalex.org/W4308634130","https://openalex.org/W2375807291","https://openalex.org/W2994721411","https://openalex.org/W2064703990","https://openalex.org/W2085668441","https://openalex.org/W2123587639","https://openalex.org/W3008946689","https://openalex.org/W2466293440","https://openalex.org/W2921132911"],"abstract_inverted_index":{"It":[0],"is":[1,24,58,205],"widely":[2],"known":[3],"that":[4,49,124,207],"many":[5],"traffic":[6,68],"accidents":[7,69],"occur":[8],"every":[9],"year,":[10],"not":[11],"only":[12],"in":[13,17,196],"Japan":[14],"but":[15],"also":[16],"the":[18,25,30,35,39,74,81,92,96,115,152,155,162,166,197],"world.":[19],"Drowsiness":[20],"or":[21,44,54],"sleepiness,":[22],"which":[23,88],"cause":[26],"of":[27,34,38,95,117,154,175,183,191],"dozing":[28,72],"at":[29,73],"wheel,":[31],"happens":[32],"regardless":[33],"physical":[36],"condition":[37],"driver":[40],"after":[41],"having":[42],"meals":[43],"during":[45,86],"midnight.":[46],"This":[47],"means":[48],"to":[50,66,113,214],"avoid":[51],"driver's":[52],"drowsiness":[53,85,118,143],"sleepiness":[55,98],"by":[56,71,91],"oneself":[57],"hard.":[59],"Therefore,":[60,203],"various":[61],"systems":[62],"have":[63],"been":[64],"proposed":[65],"prevent":[67],"caused":[70],"wheel.":[75],"In":[76,126],"this":[77,127],"study,":[78,128],"we":[79,111,135,172],"examined":[80],"relationship":[82],"between":[83],"psychological":[84],"driving,":[87],"was":[89,149],"evaluated":[90],"Japanese":[93],"version":[94],"Karolinska":[97],"scale":[99],"(KSS-J)":[100],"and":[101,107,140,160,209],"physiological":[102],"parameters":[103,211],"extracted":[104],"from":[105],"electrocardiogram":[106],"respiration":[108],"signals.":[109],"Then":[110],"tried":[112],"estimate":[114],"existence":[116],"using":[119,151,200],"logistic":[120,146,201],"regression":[121,147],"analysis":[122],"on":[123],"parameters.":[125],"since":[129],"KSS-J":[130,137],"score":[131,138],"7":[132,139],"indicates":[133],"sleepy,":[134],"determined":[136],"more":[141],"as":[142,165],"state.":[144],"The":[145],"method":[148],"performed":[150],"half":[153],"data":[156,164],"for":[157],"each":[158],"subject":[159],"used":[161],"remaining":[163],"testing":[167],"data.":[168],"As":[169],"a":[170],"result,":[171],"got":[173],"71%":[174],"accuracy":[176,184,192],"with":[177,185,193],"heart":[178],"rate":[179,187],"variability":[180,188],"(HRV),":[181],"72%":[182],"breathing":[186],"(BRV),":[189],"81%":[190],"both":[194],"signals":[195],"whole":[198],"subjects":[199],"regression.":[202],"it":[204],"suggested":[206],"HRV":[208],"BRV":[210],"are":[212],"relevant":[213],"drowsiness.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
