{"id":"https://openalex.org/W4309242570","doi":"https://doi.org/10.1109/biocas54905.2022.9948578","title":"Performance Assessment of Automatic Sleep Stage Classification Using Only Partial PSG Sensors","display_name":"Performance Assessment of Automatic Sleep Stage Classification Using Only Partial PSG Sensors","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4309242570","doi":"https://doi.org/10.1109/biocas54905.2022.9948578"},"language":"en","primary_location":{"id":"doi:10.1109/biocas54905.2022.9948578","doi":"https://doi.org/10.1109/biocas54905.2022.9948578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas54905.2022.9948578","pdf_url":null,"source":{"id":"https://openalex.org/S4363608179","display_name":"IEEE Biomedical Circuits and Systems Conference (BioCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5113822797","display_name":"Iksoo Choi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Iksoo Choi","raw_affiliation_strings":["Seoul National University,Dept. of Electrical and Computer Engineering,Seoul,Korea","Dept. of Electrical and Computer Engineering, Seoul National University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. of Electrical and Computer Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113491293","display_name":"Wonyong Sung","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonyong Sung","raw_affiliation_strings":["Seoul National University,Dept. of Electrical and Computer Engineering,Seoul,Korea","Dept. of Electrical and Computer Engineering, Seoul National University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. of Electrical and Computer Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":1.6091,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79431402,"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":"670","last_page":"674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9702000021934509,"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":0.9702000021934509,"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/T10316","display_name":"Sleep and related disorders","score":0.012600000016391277,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.0032999999821186066,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/sleep-staging","display_name":"sleep stage classification","score":0.9800000190734863},{"id":"https://openalex.org/keywords/polysomnography","display_name":"polysomnography","score":0.9539999961853027},{"id":"https://openalex.org/keywords/signal-loss","display_name":"signal loss","score":0.31700000166893005},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.7120000123977661},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.8299999833106995},{"id":"https://openalex.org/keywords/fully-connected-neural-network","display_name":"fully connected neural network","score":0.8159999847412109},{"id":"https://openalex.org/keywords/sleep-disturbance","display_name":"sleep disorders","score":0.7039999961853027}],"concepts":[{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.8161153793334961},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7411549091339111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7120405435562134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6226155161857605},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.6199722290039062},{"id":"https://openalex.org/C2910364982","wikidata":"https://www.wikidata.org/wiki/Q35831","display_name":"Sleep Stages","level":4,"score":0.6188463568687439},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6048936247825623},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.443661630153656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4360129237174988},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3708442151546478},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1340731978416443},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09320658445358276},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biocas54905.2022.9948578","doi":"https://doi.org/10.1109/biocas54905.2022.9948578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas54905.2022.9948578","pdf_url":null,"source":{"id":"https://openalex.org/S4363608179","display_name":"IEEE Biomedical Circuits and Systems Conference (BioCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5683000087738037,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1638975642","https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1862394037","https://openalex.org/W1977171375","https://openalex.org/W2064675550","https://openalex.org/W2133589238","https://openalex.org/W2626778328","https://openalex.org/W2889180022","https://openalex.org/W2893892260","https://openalex.org/W2896457183","https://openalex.org/W2898047920","https://openalex.org/W2901569835","https://openalex.org/W2901890644","https://openalex.org/W2901977952","https://openalex.org/W2963341956","https://openalex.org/W2970585579","https://openalex.org/W2977759318","https://openalex.org/W3013552016","https://openalex.org/W3015468748","https://openalex.org/W3083689737","https://openalex.org/W3087823924","https://openalex.org/W3097777922","https://openalex.org/W3201282232","https://openalex.org/W4295224299","https://openalex.org/W7066221540"],"related_works":["https://openalex.org/W2944505406","https://openalex.org/W4390993460","https://openalex.org/W3201470616","https://openalex.org/W7064995639","https://openalex.org/W2884908539","https://openalex.org/W2982553358","https://openalex.org/W4387403579","https://openalex.org/W7006026596","https://openalex.org/W3111722905","https://openalex.org/W2913237197"],"abstract_inverted_index":{"As":[0],"sleep":[1,14,23,55,117],"disorders":[2],"are":[3,41,102],"becoming":[4],"overwhelmingly":[5],"prevalent":[6],"in":[7,66,73],"industrialized":[8],"countries,":[9],"a":[10],"simple,":[11],"readily":[12],"accessible":[13],"stage":[15,24,56,118],"classification":[16,25,57,119],"technology":[17,53],"is":[18],"strikingly":[19],"at":[20],"need.":[21],"Conventional":[22],"relies":[26],"on":[27,124],"sensors":[28,40,99],"such":[29,39],"as":[30,100],"electroencephalogram":[31],"(EEG),":[32],"electrooculogram":[33],"(EOG),":[34],"and":[35,43,88,113],"electromyogram":[36],"(EMG).":[37],"However,":[38],"costly":[42],"exceedingly":[44],"inconvenient":[45],"to":[46,96,106],"utilize.":[47],"By":[48],"employing":[49],"deep":[50,85],"neural":[51,86,90],"network":[52,87,91],"for":[54],"with":[58,81],"polysomnography":[59],"(PSG),":[60],"we":[61,94],"studied":[62],"how":[63],"much":[64],"loss":[65],"accuracy":[67],"incurred":[68],"when":[69],"eliminating":[70],"specific":[71],"signals":[72],"PSG.":[74],"We":[75],"compared":[76],"the":[77,103,111],"performance":[78],"of":[79,83,115],"Transformer":[80],"those":[82],"fully-connected":[84],"recurrent":[89],"models.":[92],"Especially,":[93],"aim":[95],"eliminate":[97],"EEG":[98,125],"they":[101],"most":[104],"cumbersome":[105],"use.":[107],"This":[108],"experiment":[109],"demonstrates":[110],"possibility":[112],"limitations":[114],"simple":[116],"that":[120],"does":[121],"not":[122],"rely":[123],"signals.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-11-25T00:00:00"}
