{"id":"https://openalex.org/W4319867819","doi":"https://doi.org/10.1109/jbhi.2023.3240891","title":"CSF-GTNet: A Novel Multi-Dimensional Feature Fusion Network Based on Convnext-GeLU- BiLSTM for EEG-Signals-Enabled Fatigue Driving Detection","display_name":"CSF-GTNet: A Novel Multi-Dimensional Feature Fusion Network Based on Convnext-GeLU- BiLSTM for EEG-Signals-Enabled Fatigue Driving Detection","publication_year":2023,"publication_date":"2023-01-31","ids":{"openalex":"https://openalex.org/W4319867819","doi":"https://doi.org/10.1109/jbhi.2023.3240891","pmid":"https://pubmed.ncbi.nlm.nih.gov/37022236"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3240891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3240891","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037463477","display_name":"Dongrui Gao","orcid":"https://orcid.org/0000-0002-2023-0765"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongrui Gao","raw_affiliation_strings":["School of Computer Science, Chengdu University of Information Technology, Chengdu, China","School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001139686","display_name":"Pengrui Li","orcid":"https://orcid.org/0000-0002-1398-207X"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengrui Li","raw_affiliation_strings":["School of Computer Science, Chengdu University of Information Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081992035","display_name":"Manqing Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Manqing Wang","raw_affiliation_strings":["School of Computer Science, Chengdu University of Information Technology, Chengdu, China","School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029572729","display_name":"Yujie Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Liang","raw_affiliation_strings":["School of Computer Science, Chengdu University of Information Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102883636","display_name":"Shihong Liu","orcid":"https://orcid.org/0000-0002-2106-1772"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihong Liu","raw_affiliation_strings":["School of Computer Science, Chengdu University of Information Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110286429","display_name":"Jiliu Zhou","orcid":"https://orcid.org/0009-0002-0221-905X"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiliu Zhou","raw_affiliation_strings":["School of Computer Science, Chengdu University of Information Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030547287","display_name":"Lutao Wang","orcid":"https://orcid.org/0000-0002-0743-7104"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lutao Wang","raw_affiliation_strings":["School of Computer Science, Chengdu University of Information Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741917","display_name":"Yongqing Zhang","orcid":"https://orcid.org/0000-0003-3422-8305"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqing Zhang","raw_affiliation_strings":["School of Computer Science, Chengdu University of Information Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5037463477"],"corresponding_institution_ids":["https://openalex.org/I150229711","https://openalex.org/I24201400"],"apc_list":null,"apc_paid":null,"fwci":13.5309,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.99434081,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"28","issue":"5","first_page":"2558","last_page":"2568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9965999722480774,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7065727710723877},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6988463401794434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5891813635826111},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5411329865455627},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5164546966552734},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5067372918128967},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.500150203704834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49660617113113403},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4673624038696289},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.45044389367103577},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44218552112579346},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4404883086681366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33300358057022095},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1462283730506897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09467744827270508}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7065727710723877},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6988463401794434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5891813635826111},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5411329865455627},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5164546966552734},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5067372918128967},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.500150203704834},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49660617113113403},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4673624038696289},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.45044389367103577},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44218552112579346},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4404883086681366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33300358057022095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1462283730506897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09467744827270508},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","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":"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":"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":false},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","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":false},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","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":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","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":"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":"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":"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":"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":"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":"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":"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":"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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":"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":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3240891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3240891","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:37022236","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37022236","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8617958116","display_name":null,"funder_award_id":"62272067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2052297462","https://openalex.org/W2100209806","https://openalex.org/W2528525647","https://openalex.org/W2559463885","https://openalex.org/W2795547633","https://openalex.org/W2795967890","https://openalex.org/W2903486342","https://openalex.org/W2908578648","https://openalex.org/W2911256521","https://openalex.org/W2969260977","https://openalex.org/W2980105727","https://openalex.org/W2998583340","https://openalex.org/W3010732737","https://openalex.org/W3041021382","https://openalex.org/W3047405387","https://openalex.org/W3083701231","https://openalex.org/W3102455230","https://openalex.org/W3114735065","https://openalex.org/W3135207255","https://openalex.org/W3162595154","https://openalex.org/W3175426753","https://openalex.org/W3187517731","https://openalex.org/W3190904341","https://openalex.org/W3202542180","https://openalex.org/W3214662938","https://openalex.org/W3216389778","https://openalex.org/W4205519040","https://openalex.org/W4206362244","https://openalex.org/W4229045859","https://openalex.org/W4285211405","https://openalex.org/W4309204530","https://openalex.org/W4312443924","https://openalex.org/W4312897482","https://openalex.org/W6674695458"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W4233722919","https://openalex.org/W2032664813"],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"signal":[2],"has":[3],"been":[4],"recognized":[5],"as":[6,58],"an":[7],"effective":[8],"fatigue":[9,93,124,157,186,200],"detection":[10,158],"method,":[11],"which":[12,140],"can":[13,194],"intuitively":[14],"reflect":[15],"the":[16,21,42,62,69,73,116,134,144,150,160,168,176,182,189,209],"drivers'":[17],"mental":[18],"state.":[19],"However,":[20],"research":[22,193,201],"on":[23,87,133],"multi-dimensional":[24,81],"features":[25,63],"in":[26,181,198,207],"existing":[27],"work":[28,52],"could":[29],"be":[30],"much":[31],"better.":[32],"The":[33,111,126],"instability":[34],"and":[35,89,103,123,131,136,175,185,202],"complexity":[36],"of":[37,44,64,152,171,211],"EEG":[38],"signals":[39],"will":[40],"increase":[41],"difficulty":[43],"extracting":[45],"data":[46],"features.":[47],"More":[48],"importantly,":[49],"most":[50],"current":[51],"only":[53],"treats":[54],"deep":[55],"learning":[56],"models":[57],"classifiers.":[59],"They":[60],"ignored":[61],"different":[65,179],"subjects":[66,180],"learned":[67],"by":[68],"model.":[70],"Aiming":[71],"at":[72],"above":[74],"problems,":[75],"this":[76,212],"paper":[77],"proposes":[78],"a":[79,204],"novel":[80],"feature":[82],"fusion":[83],"network,":[84],"CSF-GTNet,":[85],"based":[86],"time":[88],"space-frequency":[90],"domains":[91],"for":[92,156],"detection.":[94],"Specifically,":[95],"it":[96],"comprises":[97],"Gaussian":[98],"Time":[99],"Domain":[100,108],"Network":[101,109],"(GTNet)":[102],"Pure":[104],"Convolutional":[105],"Spatial":[106],"Frequency":[107],"(CSFNet).":[110],"experimental":[112],"results":[113],"show":[114],"that":[115],"proposed":[117],"method":[118],"effectively":[119],"distinguishes":[120],"between":[121,178],"alert":[122,183],"states.":[125],"accuracy":[127],"rates":[128],"are":[129,141],"85.16%":[130],"81.48%":[132],"self-made":[135],"SEED-VIG":[137],"datasets,":[138],"respectively,":[139],"higher":[142],"than":[143],"state-of-the-art":[145],"methods.":[146],"Moreover,":[147],"we":[148,166],"analyze":[149],"contribution":[151],"each":[153,172],"brain":[154,161,199],"region":[155],"through":[159,188],"topology":[162],"map.":[163,191],"In":[164],"addition,":[165],"explore":[167],"changing":[169],"trend":[170],"frequency":[173],"band":[174],"significance":[177],"state":[184,187],"heat":[190],"Our":[192],"provide":[195],"new":[196],"ideas":[197],"play":[203],"specific":[205],"role":[206],"promoting":[208],"development":[210],"field.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":38},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":11}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}