{"id":"https://openalex.org/W4394711857","doi":"https://doi.org/10.1109/percom59722.2024.10494473","title":"DeepApnea: Deep Learning Based Sleep Apnea Detection Using Smartwatches","display_name":"DeepApnea: Deep Learning Based Sleep Apnea Detection Using Smartwatches","publication_year":2024,"publication_date":"2024-03-11","ids":{"openalex":"https://openalex.org/W4394711857","doi":"https://doi.org/10.1109/percom59722.2024.10494473"},"language":"en","primary_location":{"id":"doi:10.1109/percom59722.2024.10494473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom59722.2024.10494473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Pervasive Computing and Communications (PerCom)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5023844829","display_name":"Zida Liu","orcid":null},"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":"Zida Liu","raw_affiliation_strings":["The Pennsylvania State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025417124","display_name":"Xianda Chen","orcid":"https://orcid.org/0000-0003-0836-6050"},"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":"Xianda Chen","raw_affiliation_strings":["The Pennsylvania State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001030192","display_name":"Fenglong Ma","orcid":"https://orcid.org/0000-0002-4999-0303"},"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":"Fenglong Ma","raw_affiliation_strings":["The Pennsylvania State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059218386","display_name":"Julio Fern\u00e1ndez\u2010Mendoza","orcid":"https://orcid.org/0000-0001-9584-6161"},"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":"Julio Fernandez-Mendoza","raw_affiliation_strings":["The Pennsylvania State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102287047","display_name":"Guohong Cao","orcid":null},"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":"Guohong Cao","raw_affiliation_strings":["The Pennsylvania State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"206","last_page":"216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9955999851226807,"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":0.9955999851226807,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9653000235557556,"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/smartwatch","display_name":"Smartwatch","score":0.8361396789550781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6193667054176331},{"id":"https://openalex.org/keywords/sleep-apnea","display_name":"Sleep apnea","score":0.6120617389678955},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.5325891971588135},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46170786023139954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4235609471797943},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.32120460271835327},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.27478161454200745},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.10944882035255432},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10247910022735596}],"concepts":[{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.8361396789550781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6193667054176331},{"id":"https://openalex.org/C2777935920","wikidata":"https://www.wikidata.org/wiki/Q213600","display_name":"Sleep apnea","level":2,"score":0.6120617389678955},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.5325891971588135},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46170786023139954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4235609471797943},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.32120460271835327},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.27478161454200745},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.10944882035255432},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10247910022735596},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percom59722.2024.10494473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom59722.2024.10494473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Pervasive Computing and Communications (PerCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1670132599","https://openalex.org/W2055483942","https://openalex.org/W2069763158","https://openalex.org/W2114054266","https://openalex.org/W2132271223","https://openalex.org/W2515118094","https://openalex.org/W2553915786","https://openalex.org/W2597655663","https://openalex.org/W2602901308","https://openalex.org/W2750410834","https://openalex.org/W2756058504","https://openalex.org/W2792112256","https://openalex.org/W2928318647","https://openalex.org/W2948470778","https://openalex.org/W2955745546","https://openalex.org/W2963241825","https://openalex.org/W2963919481","https://openalex.org/W2973055427","https://openalex.org/W3015173453","https://openalex.org/W3033234289","https://openalex.org/W3035511470","https://openalex.org/W3039866371","https://openalex.org/W3166996592","https://openalex.org/W3173286189","https://openalex.org/W4284898064","https://openalex.org/W4293100413","https://openalex.org/W4312339909","https://openalex.org/W6636883489","https://openalex.org/W6735377749"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Sleep":[0],"apnea":[1,23,36,59,77,101,117],"is":[2],"a":[3,54,87,169,203],"serious":[4],"sleep":[5,22,35,58,76,100,164,221],"disorder":[6],"where":[7,181],"patients":[8],"have":[9,26,196],"multiple":[10],"extended":[11],"pauses":[12],"in":[13],"breath":[14],"during":[15],"sleep.":[16],"Although":[17],"some":[18,92],"portable":[19],"or":[20,44],"contactless":[21],"detection":[24,37,60],"systems":[25],"been":[27],"proposed,":[28],"none":[29],"of":[30,75,99,220],"them":[31],"can":[32,211],"achieve":[33],"fine-grained":[34],"without":[38],"strict":[39],"requirements":[40],"on":[41,199,216],"the":[42,120,130,146,156,192],"device":[43],"environmental":[45],"settings.":[46],"To":[47,134],"address":[48,135],"this":[49],"problem,":[50],"we":[51,90,138,167],"present":[52],"DeepApnea,":[53],"deep":[55,170],"learning":[56,171],"based":[57],"system":[61],"that":[62,209],"leverages":[63],"patients'":[64],"wrist":[65],"movement":[66],"data":[67,122],"collected":[68],"by":[69,103],"smartwatches":[70,200],"to":[71,114,125,144,173,190],"identify":[72,91],"different":[73,97,218],"types":[74,98,219],"events":[78],"(i.e.,":[79],"central":[80],"apneas,":[81,83],"obstructive":[82],"and":[84,123,159,184,201],"hypopneas).":[85],"Through":[86],"clinical":[88,204],"study,":[89],"special":[93],"characteristics":[94],"associated":[95],"with":[96],"captured":[102],"smartwatch.":[104],"However,":[105],"there":[106],"are":[107,188],"many":[108],"technical":[109],"challenges":[110],"such":[111],"as":[112],"how":[113,124],"extract":[115,174],"informative":[116],"features":[118,127,161,175],"from":[119,129,176],"noisy":[121],"leverage":[126],"extracted":[128],"multi-axis":[131],"sensing":[132],"data.":[133],"these":[136],"challenges,":[137],"first":[139],"propose":[140],"signal":[141,158],"pre-processing":[142],"methods":[143],"filter":[145],"raw":[147],"accelerometer":[148],"(ACC)":[149],"data,":[150],"smoothing":[151],"away":[152],"noise":[153],"while":[154],"preserving":[155],"respiratory":[157],"potential":[160],"for":[162],"identifying":[163,217],"apnea.":[165,222],"Then,":[166],"design":[168],"architecture":[172],"three":[177],"ACC":[178],"axes":[179],"collaboratively,":[180],"self":[182],"attention":[183],"cross-axis":[185],"correlation":[186],"techniques":[187],"leveraged":[189],"improve":[191],"classification":[193],"accuracy.":[194],"We":[195],"implemented":[197],"DeepApnea":[198,210],"performed":[202],"study.":[205],"Evaluation":[206],"results":[207],"demonstrate":[208],"significantly":[212],"outperform":[213],"existing":[214],"work":[215]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}