{"id":"https://openalex.org/W4360584309","doi":"https://doi.org/10.1109/access.2023.3260215","title":"Distributed Neural Network System for Multimodal Sleep Stage Detection","display_name":"Distributed Neural Network System for Multimodal Sleep Stage Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4360584309","doi":"https://doi.org/10.1109/access.2023.3260215"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3260215","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3260215","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10078262.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10078262.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038750304","display_name":"Yi-Hsuan Cheng","orcid":"https://orcid.org/0000-0001-5239-3465"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yi-Hsuan Cheng","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5239-3465","affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065207789","display_name":"Margaret Lech","orcid":"https://orcid.org/0000-0002-7860-7289"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Margaret Lech","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7860-7289","affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060108418","display_name":"Richardt H. Wilkinson","orcid":"https://orcid.org/0000-0003-1318-8447"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Richardt H. Wilkinson","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1318-8447","affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038750304"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8519,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7039018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"29048","last_page":"29061"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9864000082015991,"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":0.8473808765411377},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7640998959541321},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7633419632911682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6304700970649719},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5870292782783508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5271211266517639},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44387397170066833},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34710538387298584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8473808765411377},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7640998959541321},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7633419632911682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6304700970649719},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5870292782783508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5271211266517639},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44387397170066833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34710538387298584}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2023.3260215","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3260215","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10078262.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8402aa6f89544d7590777c068d979621","is_oa":true,"landing_page_url":"https://doaj.org/article/8402aa6f89544d7590777c068d979621","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 29048-29061 (2023)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/27570072","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3260215","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3260215","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10078262.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320320972","display_name":"RMIT University","ror":"https://ror.org/04ttjf776"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4360584309.pdf","grobid_xml":"https://content.openalex.org/works/W4360584309.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W160785014","https://openalex.org/W1206391664","https://openalex.org/W1686810756","https://openalex.org/W1983256092","https://openalex.org/W2117296910","https://openalex.org/W2137459951","https://openalex.org/W2144691514","https://openalex.org/W2162800060","https://openalex.org/W2163502376","https://openalex.org/W2592289510","https://openalex.org/W2619383789","https://openalex.org/W2794026873","https://openalex.org/W2805033630","https://openalex.org/W2805075551","https://openalex.org/W2893892260","https://openalex.org/W2900178629","https://openalex.org/W2911366536","https://openalex.org/W2913237197","https://openalex.org/W2941679862","https://openalex.org/W2960369238","https://openalex.org/W2963919481","https://openalex.org/W3020872732","https://openalex.org/W3028860956","https://openalex.org/W3042780256","https://openalex.org/W3091714893","https://openalex.org/W3115293403","https://openalex.org/W3119911037","https://openalex.org/W3133961566","https://openalex.org/W3188349400","https://openalex.org/W4206141328","https://openalex.org/W6627949721","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W4293226380","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Existing":[0],"automatic":[1],"sleep":[2,70],"stage":[3,71],"detection":[4],"methods":[5],"predominantly":[6],"use":[7],"convolutional":[8,113],"neural":[9,65,101,114],"network":[10,34,61,66,155],"classifiers":[11],"(CNNs)":[12],"trained":[13],"on":[14,125],"features":[15],"extracted":[16],"from":[17],"single-modality":[18,121,150],"signals":[19],"such":[20],"as":[21],"electroencephalograms":[22],"(EEG).":[23],"On":[24],"the":[25,126,132,145,159,162],"other":[26],"hand,":[27],"multimodal":[28,69,89],"approaches":[29],"propose":[30],"very":[31,49],"complexly":[32],"stacked":[33,60],"structures":[35],"with":[36,62],"multiple":[37],"CNN":[38],"branches":[39],"merged":[40],"by":[41,108],"a":[42,59,63,97,119],"fully":[43,98],"connected":[44,99],"layer.":[45],"It":[46,73],"leads":[47],"to":[48],"high":[50],"computational":[51,77],"and":[52,78,91,135,168],"data":[53,80],"requirements.":[54],"This":[55],"study":[56],"proposes":[57],"replacing":[58],"distributed":[64],"system":[67,93],"for":[68],"detection.":[72],"has":[74],"relatively":[75],"low":[76],"training":[79],"requirements":[81],"while":[82],"providing":[83],"highly":[84],"competitive":[85],"results.":[86],"The":[87,152],"proposed":[88],"classification":[90,105],"decision-making":[92,171],"(MM-DMS)":[94],"method":[95],"applies":[96],"shallow":[100,154],"network,":[102],"arbitrating":[103],"between":[104],"outcomes":[106],"given":[107],"an":[109],"assembly":[110],"of":[111,141],"independent":[112],"networks":[115],"(CNNs),":[116],"each":[117,149],"using":[118],"different":[120],"signal.":[122],"Experiments":[123],"conducted":[124],"CAP":[127],"Sleep":[128],"Database":[129],"data,":[130],"including":[131],"EEG-,":[133],"ECG-,":[134],"EMG":[136],"modalities":[137],"representing":[138],"six":[139],"stages":[140],"sleep,":[142],"show":[143],"that":[144],"MM-DMS":[146,160],"significantly":[147],"outperforms":[148,161],"CNN.":[151],"fully-connected":[153],"arbitration":[156],"included":[157],"in":[158],"traditional":[163],"majority":[164],"voting-,":[165],"average":[166],"probability-,":[167],"maximum":[169],"probability":[170],"methods.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}