{"id":"https://openalex.org/W4286572032","doi":"https://doi.org/10.1109/metroind4.0iot54413.2022.9831706","title":"On the Application of Parsimonious Models for Surgical Anesthesia Depth Prediction using EEG Recordings","display_name":"On the Application of Parsimonious Models for Surgical Anesthesia Depth Prediction using EEG Recordings","publication_year":2022,"publication_date":"2022-06-07","ids":{"openalex":"https://openalex.org/W4286572032","doi":"https://doi.org/10.1109/metroind4.0iot54413.2022.9831706"},"language":"en","primary_location":{"id":"doi:10.1109/metroind4.0iot54413.2022.9831706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot54413.2022.9831706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Workshop on Metrology for Industry 4.0 &amp; IoT (MetroInd4.0&amp;IoT)","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/A5026093225","display_name":"Ejay Nsugbe","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210087105","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71","country_code":"GB","type":"government","lineage":["https://openalex.org/I4210087105"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Ejay Nsugbe","raw_affiliation_strings":["Nsugbe Research Labs,Swindon,United Kingdom","Nsugbe Research Labs, Swindon, United Kingdom","SIAT-CAS: CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institute of Advanced Technology (SIAT), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nsugbe Research Labs,Swindon,United Kingdom","institution_ids":["https://openalex.org/I4210087105"]},{"raw_affiliation_string":"Nsugbe Research Labs, Swindon, United Kingdom","institution_ids":["https://openalex.org/I4210087105"]},{"raw_affiliation_string":"SIAT-CAS: CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institute of Advanced Technology (SIAT), Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019162682","display_name":"Mojisola Grace Asogbon","orcid":"https://orcid.org/0009-0006-1503-9356"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mojisola Grace Asogbon","raw_affiliation_strings":["SIAT-CAS,CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,China","CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, SIAT-CAS, China","SIAT-CAS: CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institute of Advanced Technology (SIAT), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SIAT-CAS,CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,China","institution_ids":[]},{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, SIAT-CAS, China","institution_ids":[]},{"raw_affiliation_string":"SIAT-CAS: CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institute of Advanced Technology (SIAT), Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042592657","display_name":"Oluwarotimi Williams Samuel","orcid":"https://orcid.org/0000-0003-1945-1402"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Oluwarotimi Williams Samuel","raw_affiliation_strings":["SIAT-CAS,CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,China","CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, SIAT-CAS, China","SIAT-CAS: CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institute of Advanced Technology (SIAT), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SIAT-CAS,CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,China","institution_ids":[]},{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, SIAT-CAS, China","institution_ids":[]},{"raw_affiliation_string":"SIAT-CAS: CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institute of Advanced Technology (SIAT), Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636088","display_name":"Guanglin Li","orcid":"https://orcid.org/0000-0001-9016-2617"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglin Li","raw_affiliation_strings":["SIAT-CAS,CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,China","SIAT-CAS: CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institute of Advanced Technology (SIAT), Shenzhen, China","CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, SIAT-CAS, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SIAT-CAS,CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,China","institution_ids":[]},{"raw_affiliation_string":"SIAT-CAS: CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institute of Advanced Technology (SIAT), Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, SIAT-CAS, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16622199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"131","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10436","display_name":"Anesthesia and Sedative Agents","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2703","display_name":"Anesthesiology and Pain Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10436","display_name":"Anesthesia and Sedative Agents","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2703","display_name":"Anesthesiology and Pain Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9955000281333923,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/electroencephalography","display_name":"Electroencephalography","score":0.6996334791183472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6109157800674438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5406032204627991},{"id":"https://openalex.org/keywords/sedation","display_name":"Sedation","score":0.4966896176338196},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4937523305416107},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47599756717681885},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4595995545387268},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4370443522930145},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42758089303970337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39786097407341003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37628868222236633},{"id":"https://openalex.org/keywords/anesthesia","display_name":"Anesthesia","score":0.2006116807460785},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18079155683517456},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14188030362129211},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1353655457496643},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10849657654762268}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6996334791183472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109157800674438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5406032204627991},{"id":"https://openalex.org/C2776814716","wikidata":"https://www.wikidata.org/wiki/Q574801","display_name":"Sedation","level":2,"score":0.4966896176338196},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4937523305416107},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47599756717681885},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4595995545387268},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4370443522930145},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42758089303970337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39786097407341003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37628868222236633},{"id":"https://openalex.org/C42219234","wikidata":"https://www.wikidata.org/wiki/Q131130","display_name":"Anesthesia","level":1,"score":0.2006116807460785},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18079155683517456},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14188030362129211},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1353655457496643},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10849657654762268},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroind4.0iot54413.2022.9831706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot54413.2022.9831706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Workshop on Metrology for Industry 4.0 &amp; IoT (MetroInd4.0&amp;IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G8589719734","display_name":null,"funder_award_id":"82050410452,62150410439,61901464,U1613222","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1500895378","https://openalex.org/W1597926580","https://openalex.org/W1988881714","https://openalex.org/W2085318410","https://openalex.org/W2159292941","https://openalex.org/W2316206413","https://openalex.org/W2559148173","https://openalex.org/W2754649950","https://openalex.org/W2791495114","https://openalex.org/W2803756686","https://openalex.org/W2946909483","https://openalex.org/W3037102754","https://openalex.org/W3129649455","https://openalex.org/W3136821121","https://openalex.org/W3153065345","https://openalex.org/W3167440003","https://openalex.org/W3209548899","https://openalex.org/W4200361675","https://openalex.org/W4200383346","https://openalex.org/W4286572024","https://openalex.org/W6790733502"],"related_works":["https://openalex.org/W3032487185","https://openalex.org/W4386281019","https://openalex.org/W2347099951","https://openalex.org/W2093664268","https://openalex.org/W2158400770","https://openalex.org/W1594862303","https://openalex.org/W2079781669","https://openalex.org/W2472132258","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Anesthetics":[0],"are":[1],"commonly":[2],"employed":[3,83],"during":[4,51,76],"surgical":[5],"processes":[6],"to":[7,19,78,95],"dull":[8],"out":[9],"sensations.":[10],"Despite":[11],"their":[12,24],"widespread":[13],"adoption":[14],"and":[15,29,105,125],"effectiveness,":[16],"there":[17],"continue":[18],"be":[20],"shortcomings":[21],"associated":[22],"with":[23],"use":[25],"that":[26],"span":[27],"cognitive":[28],"neurological":[30],"side":[31,38],"effects.":[32],"An":[33],"avenue":[34],"towards":[35,59],"minimizing":[36],"these":[37],"effects":[39],"involves":[40],"better":[41],"means":[42],"of":[43,47,57,118],"monitoring":[44],"the":[45,52,72,122,126,130,136,145],"depth":[46],"anesthesia":[48],"(DoA)":[49],"administered":[50],"sedation":[53],"process.":[54],"As":[55],"part":[56],"strides":[58],"investigating":[60],"this":[61,63],"problem,":[62],"work":[64],"involved":[65],"using":[66],"EEG":[67],"brain":[68],"waves":[69],"acquired":[70],"from":[71],"frontal":[73],"cortex":[74],"region":[75],"surgery":[77],"predict":[79],"DoA.":[80],"Specifically,":[81],"we":[82],"a":[84,91,116],"signal":[85],"decomposition":[86],"pre-processing":[87],"technique,":[88],"followed":[89],"by":[90],"feature":[92,99],"selection":[93],"process":[94],"obtain":[96],"an":[97],"optimal":[98],"set":[100],"used":[101],"for":[102,109],"modelling":[103],"linear":[104],"nonlinear":[106],"regression-based":[107],"algorithms":[108],"prediction":[110,119],"tasks.":[111],"The":[112],"obtained":[113],"results":[114],"showed":[115],"range":[117],"accuracies":[120],"across":[121,144],"various":[123],"patients,":[124],"proposed":[127],"approach":[128],"produced":[129],"highest":[131],"classification":[132],"accuracy":[133],"when":[134],"predicting":[135],"awake":[137],"state-a":[138],"feat":[139],"which":[140],"is":[141],"also":[142],"echoed":[143],"literature.":[146]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
