{"id":"https://openalex.org/W4388895071","doi":"https://doi.org/10.1109/jbhi.2023.3335658","title":"Multiscale Bidirectional Temporal Convolutional Network for Sleep Apnea Detection Based on Wearable Photoplethysmography Bracelet","display_name":"Multiscale Bidirectional Temporal Convolutional Network for Sleep Apnea Detection Based on Wearable Photoplethysmography Bracelet","publication_year":2023,"publication_date":"2023-11-22","ids":{"openalex":"https://openalex.org/W4388895071","doi":"https://doi.org/10.1109/jbhi.2023.3335658","pmid":"https://pubmed.ncbi.nlm.nih.gov/37991905"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3335658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3335658","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5072181521","display_name":"Lang Zou","orcid":"https://orcid.org/0000-0002-4921-5200"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lang Zou","raw_affiliation_strings":["School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4921-5200","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102851337","display_name":"Guanzheng Liu","orcid":"https://orcid.org/0000-0002-1208-7479"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanzheng Liu","raw_affiliation_strings":["School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1208-7479","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072181521"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":2.2162,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.88588628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"28","issue":"3","first_page":"1331","last_page":"1340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":1.0,"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":1.0,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9916999936103821,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9886999726295471,"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/overfitting","display_name":"Overfitting","score":0.7710725665092468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.732410192489624},{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.7058438062667847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6193183660507202},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6059423089027405},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5817486643791199},{"id":"https://openalex.org/keywords/sleep-apnea","display_name":"Sleep apnea","score":0.5623067617416382},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5593389272689819},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5528607964515686},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2959199547767639},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2106468677520752},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15361684560775757},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.09963992238044739}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7710725665092468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.732410192489624},{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.7058438062667847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6193183660507202},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6059423089027405},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5817486643791199},{"id":"https://openalex.org/C2777935920","wikidata":"https://www.wikidata.org/wiki/Q213600","display_name":"Sleep apnea","level":2,"score":0.5623067617416382},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5593389272689819},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5528607964515686},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2959199547767639},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2106468677520752},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15361684560775757},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.09963992238044739},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012891","descriptor_name":"Sleep Apnea Syndromes","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D012891","descriptor_name":"Sleep Apnea Syndromes","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D012891","descriptor_name":"Sleep Apnea Syndromes","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D012891","descriptor_name":"Sleep Apnea Syndromes","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3335658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3335658","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:37991905","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37991905","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1991165771","https://openalex.org/W2017334217","https://openalex.org/W2095705004","https://openalex.org/W2104933073","https://openalex.org/W2164179736","https://openalex.org/W2171751225","https://openalex.org/W2341459305","https://openalex.org/W2343482910","https://openalex.org/W2592857683","https://openalex.org/W2752782242","https://openalex.org/W2789703545","https://openalex.org/W2791025763","https://openalex.org/W2792764867","https://openalex.org/W2796062758","https://openalex.org/W2807546396","https://openalex.org/W2884012513","https://openalex.org/W2889326414","https://openalex.org/W2912391185","https://openalex.org/W2943173491","https://openalex.org/W2945051158","https://openalex.org/W2947595576","https://openalex.org/W2952608122","https://openalex.org/W2974597585","https://openalex.org/W2985634329","https://openalex.org/W2998050309","https://openalex.org/W3001200936","https://openalex.org/W3015147832","https://openalex.org/W3025750916","https://openalex.org/W3043833357","https://openalex.org/W3044179424","https://openalex.org/W3048664285","https://openalex.org/W3053117764","https://openalex.org/W3110690419","https://openalex.org/W3134182943","https://openalex.org/W3197420377","https://openalex.org/W3202499600","https://openalex.org/W4200313328","https://openalex.org/W4200619913","https://openalex.org/W4220866041","https://openalex.org/W4231438709","https://openalex.org/W4250877297","https://openalex.org/W4292388562","https://openalex.org/W4294199660","https://openalex.org/W4295123552","https://openalex.org/W4310074863","https://openalex.org/W6637568146","https://openalex.org/W6674330103","https://openalex.org/W6727785063","https://openalex.org/W6749825310","https://openalex.org/W6780793664","https://openalex.org/W6797110910"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4205793574","https://openalex.org/W4225612652"],"abstract_inverted_index":{"Sleep":[0],"apnea":[1],"syndrome":[2],"(SAS),":[3],"which":[4],"can":[5,193],"lead":[6],"to":[7],"a":[8,14,41,45,114,165,195],"range":[9],"of":[10,33,94,102,138,158,169],"Cardiopulmonary":[11],"diseases,":[12],"is":[13,26],"common":[15],"chronic":[16],"sleep":[17],"disorder.":[18],"The":[19,106,180],"unobtrusive":[20],"detection":[21],"based":[22,43],"on":[23,44,113],"wearable":[24,126],"devices":[25],"helpful":[27],"for":[28,142,149,198],"early":[29],"diagnosis":[30],"and":[31,54,64,78,83,97,111,136,145,175,192],"treatment":[32],"SAS.":[34],"To":[35],"this":[36,38,129],"end,":[37],"paper":[39],"presents":[40],"method":[42,132,163,187],"one-dimensional":[46],"multi-scale":[47],"bidirectional":[48],"temporal":[49,79],"convolutional":[50],"neural":[51],"network":[52],"(1D-MsBiTCNet)":[53],"two":[55],"model":[56,95,108],"performance":[57,191],"optimization":[58],"techniques,":[59],"i.e.,":[60],"regularized":[61],"dropout":[62],"(RD)":[63],"logit":[65],"adjustment":[66],"(LA).":[67],"Among":[68],"them,":[69],"1D-MsBiTCNet":[70],"has":[71,188],"outstanding":[72,190],"capabilities":[73],"in":[74,89],"both":[75],"feature":[76],"extraction":[77],"dependence":[80],"representation.":[81],"RD":[82],"LA":[84],"play":[85],"an":[86,189],"effective":[87],"role":[88],"solving":[90],"the":[91,98,103,155,172,176],"overfitting":[92],"problem":[93,101],"training":[96],"class":[99],"imbalance":[100],"dataset,":[104,130],"respectively.":[105],"proposed":[107,186],"was":[109],"trained":[110],"tested":[112],"photoplethysmography":[115],"(PPG)":[116],"dataset":[117],"(including":[118],"data":[119],"from":[120,124],"92":[121],"subjects)":[122],"collected":[123],"commercial":[125],"bracelets.":[127],"On":[128],"our":[131,162,185],"achieved":[133,164],"accuracy,":[134],"sensitivity":[135],"specificity":[137],"82.76%,":[139],"71.58%,":[140],"86.74%":[141],"per-segment":[143],"detection,":[144],"97.83%,":[146],"88.89%,":[147],"100.00%":[148],"per-recording":[150],"severe":[151],"SAS":[152,200],"detection.":[153,202],"For":[154],"precise":[156],"quantification":[157],"apnea-hypopnea":[159],"index":[160],"(AHI),":[161],"mean":[166],"absolute":[167],"error":[168],"5.44":[170],"between":[171],"predicted":[173],"AHI":[174],"ground":[177],"truth":[178],"AHI.":[179],"experimental":[181],"results":[182],"show":[183],"that":[184],"provide":[194],"methodological":[196],"reference":[197],"large-scale":[199],"automatic":[201]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
