{"id":"https://openalex.org/W4403030003","doi":"https://doi.org/10.3233/web-240141","title":"Automated recognition of mental cognitive workload through nonlinear EEG analysis","display_name":"Automated recognition of mental cognitive workload through nonlinear EEG analysis","publication_year":2024,"publication_date":"2024-10-01","ids":{"openalex":"https://openalex.org/W4403030003","doi":"https://doi.org/10.3233/web-240141"},"language":"en","primary_location":{"id":"doi:10.3233/web-240141","is_oa":false,"landing_page_url":"https://doi.org/10.3233/web-240141","pdf_url":null,"source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Web Intelligence","raw_type":"journal-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":null,"display_name":"Zhihong Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Zheng","raw_affiliation_strings":["South China Business College, Guangdong University of Foreign Studies, Guangzhou, Guangdong, China","South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Business College, Guangdong University of Foreign Studies, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I186272606"]},{"raw_affiliation_string":"South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, Guangdong, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054201300","display_name":"Lin Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Weng","raw_affiliation_strings":["South China Business College, Guangdong University of Foreign Studies, Guangzhou, Guangdong, China","South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Business College, Guangdong University of Foreign Studies, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I186272606"]},{"raw_affiliation_string":"South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, Guangdong, China","institution_ids":["https://openalex.org/I186272606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5054201300"],"corresponding_institution_ids":["https://openalex.org/I186272606"],"apc_list":null,"apc_paid":null,"fwci":0.8152,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71486571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"23","issue":"1","first_page":"56","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9987999796867371,"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":0.9987999796867371,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9496999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9387999773025513,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.7241905927658081},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6193374991416931},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5762194395065308},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5161494016647339},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5007383823394775},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4757680296897888},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.44866618514060974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4007001519203186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3486180901527405},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.17631316184997559}],"concepts":[{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.7241905927658081},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6193374991416931},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5762194395065308},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5161494016647339},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5007383823394775},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4757680296897888},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.44866618514060974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4007001519203186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3486180901527405},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.17631316184997559},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/web-240141","is_oa":false,"landing_page_url":"https://doi.org/10.3233/web-240141","pdf_url":null,"source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Web Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1939558272","https://openalex.org/W1946351287","https://openalex.org/W1998977696","https://openalex.org/W2080209737","https://openalex.org/W2104664243","https://openalex.org/W2145134988","https://openalex.org/W2148834573","https://openalex.org/W2159014489","https://openalex.org/W2159927642","https://openalex.org/W2167298530","https://openalex.org/W2183533393","https://openalex.org/W2263950646","https://openalex.org/W2283875974","https://openalex.org/W2315795892","https://openalex.org/W2386393684","https://openalex.org/W2420049378","https://openalex.org/W2518153892","https://openalex.org/W2549392078","https://openalex.org/W2594198792","https://openalex.org/W2595271178","https://openalex.org/W2605382099","https://openalex.org/W2610184357","https://openalex.org/W2791366411","https://openalex.org/W2797554143","https://openalex.org/W2799985432","https://openalex.org/W2804570306","https://openalex.org/W2902043866","https://openalex.org/W2908734677","https://openalex.org/W2910134385","https://openalex.org/W2921286780","https://openalex.org/W2939008440","https://openalex.org/W2939702904","https://openalex.org/W2963122398","https://openalex.org/W2980012454","https://openalex.org/W2980457930","https://openalex.org/W2986017006","https://openalex.org/W2997049878","https://openalex.org/W2997849943","https://openalex.org/W3043584461","https://openalex.org/W3113483010","https://openalex.org/W3127907513","https://openalex.org/W3167560731","https://openalex.org/W3175508462","https://openalex.org/W4210491869","https://openalex.org/W4224217554","https://openalex.org/W4225269874","https://openalex.org/W4315864964","https://openalex.org/W4318618520","https://openalex.org/W4321601925","https://openalex.org/W4362610980","https://openalex.org/W4362610982","https://openalex.org/W4372232603","https://openalex.org/W4382119270","https://openalex.org/W4386010992","https://openalex.org/W4392511584","https://openalex.org/W4399259845"],"related_works":["https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W2990194547","https://openalex.org/W1480123525","https://openalex.org/W2620865396","https://openalex.org/W2414054180"],"abstract_inverted_index":{"Nowadays,":[0],"with":[1,151,162,277],"the":[2,37,51,58,84,133,163,169,178,190,235,241,261,272,278,297],"remarkable":[3],"advancements":[4,44],"in":[5,21,45,66,231],"detection":[6],"instruments":[7],"and":[8,43,89,129,187,200,219,280],"artificial":[9],"intelligence,":[10],"there":[11],"has":[12],"been":[13],"extensive":[14],"utilization":[15],"of":[16,40,53,86,180,217,222,255,264,271,283],"human":[17,54],"mental":[18,55,209],"state":[19],"monitoring":[20],"various":[22,253],"domains.":[23],"Few":[24],"studies":[25,294],"have":[26],"explored":[27],"how":[28],"nonlinear":[29,96,201,265,279,287],"analysis":[30,266],"methods":[31],"can":[32],"detect":[33,268],"cognitive":[34,269],"workload":[35,210],"despite":[36],"complex":[38],"nature":[39,282],"EEG":[41,88,103,206,284],"signals":[42],"signal":[46],"processing":[47],"techniques.":[48],"In":[49],"addition,":[50],"fuzziness":[52],"conditions":[56],"makes":[57],"need":[59],"to":[60,73,79,173,189,205,267,295],"use":[61],"fuzzy":[62,198,281],"engineering":[63],"tools":[64],"tangible":[65],"this":[67,70,232],"field.":[68,233],"Therefore,":[69],"investigation":[71],"aimed":[72],"develop":[74],"a":[75,136,156,246],"decision":[76],"support":[77],"algorithm":[78],"improve":[80,296],"previous":[81,229],"efforts":[82],"for":[83,154,208,292],"classification":[85,134],"task":[87],"resting":[90],"through":[91],"machine":[92],"learning":[93,166],"algorithms.":[94],"Various":[95],"features":[97],"were":[98],"calculated":[99],"from":[100],"all":[101],"19":[102],"channels:":[104],"Hurst":[105],"exponent,":[106],"Lempel\u2013Ziv":[107],"complexity,":[108],"detrended":[109],"fluctuation":[110],"analysis,":[111],"Higuchi":[112],"fractal":[113,116,125],"dimension,":[114,117,126],"Katz":[115],"permutation":[118],"entropy,":[119,123,128],"singular":[120],"value":[121],"decomposition":[122],"Petrosian":[124],"sample":[127],"Lyapunov":[130],"exponent.":[131],"During":[132],"step,":[135],"newly":[137],"developed":[138],"EPC-FC":[139,170,243],"(Expert":[140],"per":[141],"Class":[142],"Fuzzy":[143],"Classifier)":[144],"is":[145,171,225,275],"introduced,":[146],"utilizing":[147,240],"an":[148,214,220],"ensemble":[149],"framework":[150],"specialized":[152],"sub-classifiers":[153,161,181],"identifying":[155],"particular":[157],"condition.":[158],"By":[159],"training":[160],"negative":[164],"correlation":[165],"(NCL)":[167],"approach,":[168],"designed":[172],"be":[174,290],"exceptionally":[175],"adaptable.":[176],"Additionally,":[177],"separation":[179],"within":[182],"each":[183],"class":[184],"provides":[185,213],"versatility":[186],"clarity":[188],"system\u2019s":[191],"design.":[192],"The":[193,257],"proposed":[194,242],"approach":[195],"based":[196],"on":[197],"systems":[199],"analyses":[202],"was":[203],"applied":[204],"data":[207],"recognition,":[211],"which":[212,224,274],"excellent":[215],"accuracy":[216,249],"98.50%":[218],"F1-score":[221],"98.56%":[223],"much":[226],"higher":[227],"than":[228],"findings":[230],"Also,":[234],"obtained":[236,258],"results":[237,259],"indicate":[238],"that":[239],"classifier":[244],"maintains":[245],"consistently":[247],"high":[248,262],"exceeding":[250],"90%":[251],"across":[252],"levels":[254],"SNRs.":[256],"proved":[260],"potential":[263],"states":[270],"brain,":[273],"consistent":[276],"data.":[285],"Other":[286],"approaches":[288],"should":[289],"considered":[291],"future":[293],"current":[298],"results.":[299]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}