{"id":"https://openalex.org/W4210320732","doi":"https://doi.org/10.1109/mmul.2022.3146141","title":"Multimedia Monitoring System of Obstructive Sleep Apnea via a Deep Active Learning Model","display_name":"Multimedia Monitoring System of Obstructive Sleep Apnea via a Deep Active Learning Model","publication_year":2022,"publication_date":"2022-01-27","ids":{"openalex":"https://openalex.org/W4210320732","doi":"https://doi.org/10.1109/mmul.2022.3146141"},"language":"en","primary_location":{"id":"doi:10.1109/mmul.2022.3146141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2022.3146141","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 MultiMedia","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":"https://openalex.org/A5016065545","display_name":"Fei Teng","orcid":"https://orcid.org/0000-0001-9535-7245"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Teng","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695037","display_name":"Dian Wang","orcid":"https://orcid.org/0000-0003-3211-3512"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dian Wang","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101406161","display_name":"Yuan Yue","orcid":"https://orcid.org/0000-0002-5732-380X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Yuan","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415757","display_name":"Haibo Zhang","orcid":"https://orcid.org/0000-0002-3752-0806"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Haibo Zhang","raw_affiliation_strings":["University of Otago, Dunedin, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Otago, Dunedin, New Zealand","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634925","display_name":"Amit Kumar Singh","orcid":"https://orcid.org/0000-0001-7359-2068"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Kumar Singh","raw_affiliation_strings":["National Institute of Technology Patna, Patna, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Patna, Patna, India","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108044017","display_name":"Zhihan Lv","orcid":"https://orcid.org/0009-0005-9452-5768"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Zhihan Lv","raw_affiliation_strings":["Uppsala University, Uppsala, Sweden"],"affiliations":[{"raw_affiliation_string":"Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5016065545"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":1.302,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.7885906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"29","issue":"3","first_page":"48","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7887580394744873},{"id":"https://openalex.org/keywords/obstructive-sleep-apnea","display_name":"Obstructive sleep apnea","score":0.7415374517440796},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.621645450592041},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.4916837811470032},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.46712926030158997},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4470311999320984},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4241909384727478},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41460901498794556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4025278687477112},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3322215676307678},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2697552442550659}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7887580394744873},{"id":"https://openalex.org/C2776006263","wikidata":"https://www.wikidata.org/wiki/Q16606552","display_name":"Obstructive sleep apnea","level":2,"score":0.7415374517440796},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.621645450592041},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.4916837811470032},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.46712926030158997},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4470311999320984},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4241909384727478},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41460901498794556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4025278687477112},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3322215676307678},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2697552442550659},{"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/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmul.2022.3146141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2022.3146141","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 MultiMedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4588844700","display_name":null,"funder_award_id":"2021YFS0014","funder_id":"https://openalex.org/F4320336596","funder_display_name":"Key Research and Development Program of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320336596","display_name":"Key Research and Development Program of Sichuan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2012878613","https://openalex.org/W2045259847","https://openalex.org/W2106336403","https://openalex.org/W2149654949","https://openalex.org/W2160439670","https://openalex.org/W2164179736","https://openalex.org/W2343482910","https://openalex.org/W2517389691","https://openalex.org/W2750023899","https://openalex.org/W2777262900","https://openalex.org/W2798977217","https://openalex.org/W2959442417","https://openalex.org/W2974597585","https://openalex.org/W2993875019","https://openalex.org/W3007604494","https://openalex.org/W3043833357"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2319255337","https://openalex.org/W1984411039","https://openalex.org/W2072718982","https://openalex.org/W198090884","https://openalex.org/W3133792152","https://openalex.org/W2368690120","https://openalex.org/W2034082193","https://openalex.org/W4384009303","https://openalex.org/W1853627846"],"abstract_inverted_index":{"Obstructive":[0],"sleep":[1,149],"apnea":[2],"(OSA)":[3],"is":[4,81],"one":[5],"of":[6,36,65,91,96,103],"the":[7,101,107,126,131],"most":[8],"commonsleep-related":[9],"breathing":[10],"disorders.":[11],"Nearly":[12],"1":[13],"billion":[14],"people":[15],"worldwide":[16],"suffer":[17],"from":[18,55],"it,":[19],"causing":[20],"serious":[21],"health":[22],"effects":[23],"and":[24,38,61,73,83,105,113,122,147],"social":[25],"burden.":[26],"However,":[27],"traditional":[28],"monitoring":[29,67,133],"systems":[30],"often":[31],"fall":[32],"short":[33],"in":[34,75],"terms":[35],"cost":[37,102],"accessibility.":[39],"In":[40],"this":[41],"article,":[42],"we":[43,88,117],"first":[44],"propose":[45],"a":[46,63],"deep":[47],"active":[48],"learning":[49],"model":[50],"to":[51,110,125,143],"detect":[52],"OSA":[53,66,78,119],"events":[54],"electrocardiogram":[56],"(ECG).":[57],"We":[58,128],"then":[59],"designed":[60],"developed":[62],"prototype":[64],"system":[68,134],"using":[69,94],"an":[70],"ECG":[71],"sensor":[72],"smartphone,":[74],"which":[76,140],"our":[77],"detection":[79,111],"algorithm":[80],"implemented":[82],"validated.":[84],"Experiments":[85],"show":[86],"that":[87,130],"achieve":[89],"accuracy":[90],"92.15%":[92],"while":[93],"40%":[95],"labeled":[97],"data,":[98],"significantly":[99],"reducing":[100],"labeling":[104],"maximizing":[106],"performance.":[108],"According":[109],"results":[112],"health-related":[114],"multimedia":[115,132],"signals,":[116],"provide":[118],"risk":[120],"level":[121],"medical":[123],"advice":[124],"users.":[127],"believe":[129],"can":[135],"efficiently":[136],"help":[137],"diagnose":[138],"OSA,":[139],"could":[141],"lead":[142],"effective":[144],"intervention":[145],"strategies":[146],"better":[148],"care.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}