{"id":"https://openalex.org/W4400111950","doi":"https://doi.org/10.1109/tim.2024.3420355","title":"DM-IACNN: A Dual-Multiscale Interactive Attention-Based Convolution Neural Network for Automated Detection of Sleep Apnea","display_name":"DM-IACNN: A Dual-Multiscale Interactive Attention-Based Convolution Neural Network for Automated Detection of Sleep Apnea","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400111950","doi":"https://doi.org/10.1109/tim.2024.3420355"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3420355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3420355","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","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/A5101638752","display_name":"Yuxuan Zhao","orcid":"https://orcid.org/0000-0003-3182-8479"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Zhao","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"raw_orcid":"https://orcid.org/0000-0003-3182-8479","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730977","display_name":"Haitao He","orcid":"https://orcid.org/0000-0001-9338-5605"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao He","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"raw_orcid":"https://orcid.org/0000-0001-9338-5605","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099634720","display_name":"Weijin Gao","orcid":"https://orcid.org/0009-0002-4661-5572"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weijin Gao","raw_affiliation_strings":["College of Engineering, The Pennsylvania State University, State College, PA, USA"],"raw_orcid":"https://orcid.org/0009-0002-4661-5572","affiliations":[{"raw_affiliation_string":"College of Engineering, The Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099634721","display_name":"Ke Xu","orcid":"https://orcid.org/0009-0009-9740-9454"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xu","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"raw_orcid":"https://orcid.org/0009-0009-9740-9454","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102869188","display_name":"Jiadong Ren","orcid":"https://orcid.org/0000-0002-2245-9133"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiadong Ren","raw_affiliation_strings":["School of Information Science and Engineering and the Key Laboratory for Software Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"raw_orcid":"https://orcid.org/0000-0002-2245-9133","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering and the Key Laboratory for Software Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9927,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75146514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9950000047683716,"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":0.9950000047683716,"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":0.9052000045776367,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6960712671279907},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6108028888702393},{"id":"https://openalex.org/keywords/obstructive-sleep-apnea","display_name":"Obstructive sleep apnea","score":0.6081805229187012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5967590808868408},{"id":"https://openalex.org/keywords/sleep-apnea","display_name":"Sleep apnea","score":0.5945179462432861},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.5553002953529358},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5070936679840088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49913501739501953},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4852597415447235},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20916897058486938},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.11452096700668335}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6960712671279907},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6108028888702393},{"id":"https://openalex.org/C2776006263","wikidata":"https://www.wikidata.org/wiki/Q16606552","display_name":"Obstructive sleep apnea","level":2,"score":0.6081805229187012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5967590808868408},{"id":"https://openalex.org/C2777935920","wikidata":"https://www.wikidata.org/wiki/Q213600","display_name":"Sleep apnea","level":2,"score":0.5945179462432861},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.5553002953529358},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5070936679840088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49913501739501953},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4852597415447235},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20916897058486938},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.11452096700668335},{"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3420355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3420355","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W23473646","https://openalex.org/W1494365440","https://openalex.org/W1522301498","https://openalex.org/W1639178551","https://openalex.org/W1989440343","https://openalex.org/W2002634573","https://openalex.org/W2026699230","https://openalex.org/W2045259847","https://openalex.org/W2055163496","https://openalex.org/W2068807113","https://openalex.org/W2076626777","https://openalex.org/W2106336403","https://openalex.org/W2160439670","https://openalex.org/W2164179736","https://openalex.org/W2194775991","https://openalex.org/W2320210054","https://openalex.org/W2538423124","https://openalex.org/W2592857683","https://openalex.org/W2743850381","https://openalex.org/W2791025763","https://openalex.org/W2796062758","https://openalex.org/W2796547433","https://openalex.org/W2802111092","https://openalex.org/W2909302325","https://openalex.org/W2919115771","https://openalex.org/W2944265983","https://openalex.org/W2959442417","https://openalex.org/W2962858109","https://openalex.org/W2963840672","https://openalex.org/W2968015413","https://openalex.org/W2974597585","https://openalex.org/W3106865607","https://openalex.org/W3134182943","https://openalex.org/W3173656828","https://openalex.org/W3176043402","https://openalex.org/W3188349400","https://openalex.org/W4200619913","https://openalex.org/W4205377454","https://openalex.org/W4220686199","https://openalex.org/W4289752563","https://openalex.org/W4310710101","https://openalex.org/W4385245566","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2072718982","https://openalex.org/W1984411039","https://openalex.org/W2319255337","https://openalex.org/W2591779223","https://openalex.org/W198090884","https://openalex.org/W2368690120","https://openalex.org/W2034082193","https://openalex.org/W4384009303","https://openalex.org/W2325361654","https://openalex.org/W3080458709"],"abstract_inverted_index":{"Sleep":[0],"apnea":[1],"(SA)":[2],"is":[3,27],"a":[4,95,113,131,171],"potentially":[5],"serious":[6],"yet":[7],"often":[8],"unnoticed":[9],"sleep":[10],"disorder":[11],"characterized":[12],"by":[13],"repeated":[14],"cessation":[15],"and":[16,22,47,81,226,230],"resumption":[17],"of":[18,25,77,86,139,154,181,194,206,224,228],"breathing.":[19],"The":[20,211],"noninvasive":[21],"real-time":[23],"detection":[24,38,106],"SA":[26,105],"paramount":[28],"in":[29],"developing":[30],"suitable":[31],"therapeutic":[32],"strategies.":[33],"Recently,":[34],"deep":[35],"learning":[36],"(DL)-based":[37],"methods":[39],"using":[40,107],"electrocardiography":[41],"(ECG)":[42],"have":[43],"demonstrated":[44],"considerable":[45],"potential":[46],"convenience":[48],"compared":[49],"to":[50,66,120,135,175,202],"traditional":[51],"expert-reliant":[52],"methods.":[53],"However,":[54],"challenges":[55],"persist:":[56],"extracting":[57],"multiscale":[58,116,167,187],"SA-related":[59],"features":[60,72,85,141,170,189],"effectively":[61],"from":[62,73,125,143,158],"the":[63,74,78,84,122,137,144,148,163,177,186,199,204,207,215,236],"ECG":[64,109,126,160],"segment":[65,165],"be":[67],"diagnosed,":[68],"capturing":[69,185],"varying-length":[70,87],"transition":[71,188],"surrounding":[75,162],"segments":[76,153,161],"target":[79,164],"one,":[80],"adaptively":[82],"fusing":[83],"input":[88],"segments.":[89],"In":[90],"this":[91],"article,":[92],"we":[93,129],"propose":[94,130],"dual-multiscale":[96],"interactive":[97,115],"attention-based":[98],"convolution":[99],"neural":[100],"network":[101],"(DM-IACNN)":[102],"for":[103],"automatic":[104],"single-lead":[108],"signals.":[110],"It":[111,169],"composes":[112],"CNN-based":[114],"extraction":[117],"(IMSE)":[118],"module":[119,134,174],"learn":[121],"feature":[123,179],"maps":[124,180],"intrasegment.":[127],"Furthermore,":[128],"temporal-wise":[132],"attention":[133,173],"enhance":[136],"modeling":[138],"temporal":[140,178],"derived":[142],"IMSE":[145],"module.":[146],"Finally,":[147],"proposed":[149,208],"model":[150,217],"accepts":[151],"three":[152,183],"varying":[155],"lengths":[156],"obtained":[157],"adjacent":[159],"as":[166],"inputs.":[168],"scale-wise":[172],"fuse":[176],"these":[182],"segments,":[184],"between":[190],"them.":[191],"A":[192],"series":[193],"experiments":[195],"were":[196],"conducted":[197],"on":[198],"apnea-ECG":[200],"dataset":[201],"investigate":[203],"effectiveness":[205],"DM-IACNN":[209,216],"model.":[210],"results":[212],"demonstrate":[213],"that":[214],"delivers":[218],"robust":[219],"performance,":[220],"with":[221],"an":[222],"accuracy":[223],"91.02%":[225],"100%":[227],"per-segment":[229],"per-recording":[231],"evaluation":[232],"paradigm,":[233],"which":[234],"outperforms":[235],"current":[237],"state-of-the-art":[238],"(SOTA)":[239],"methodologies.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
