{"id":"https://openalex.org/W4323027535","doi":"https://doi.org/10.22489/cinc.2022.080","title":"Automatic Sleep Arousal Detection Using Heart Rate From a Single-Lead Electrocardiogram","display_name":"Automatic Sleep Arousal Detection Using Heart Rate From a Single-Lead Electrocardiogram","publication_year":2022,"publication_date":"2022-12-31","ids":{"openalex":"https://openalex.org/W4323027535","doi":"https://doi.org/10.22489/cinc.2022.080"},"language":"en","primary_location":{"id":"doi:10.22489/cinc.2022.080","is_oa":false,"landing_page_url":"https://doi.org/10.22489/cinc.2022.080","pdf_url":null,"source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"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":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-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/A5053455312","display_name":"Franz Ehrlich","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"\"Franz Ehrlich","raw_affiliation_strings":["Institute of Biomedical Engineering, TU Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051029503","display_name":"Johannes Bender","orcid":"https://orcid.org/0000-0003-2580-1827"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Bender","raw_affiliation_strings":["Institute of Biomedical Engineering, TU Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073789830","display_name":"Hagen Malberg","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hagen Malberg","raw_affiliation_strings":["Institute of Biomedical Engineering, TU Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084327340","display_name":"Miriam Goldammer","orcid":"https://orcid.org/0000-0003-2126-290X"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Miriam Goldammer\"","raw_affiliation_strings":["Institute of Biomedical Engineering, TU Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053455312"],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":null,"apc_paid":null,"fwci":0.3259,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.52261723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.960099995136261,"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"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.960099995136261,"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"}},{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9527000188827515,"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/arousal","display_name":"Arousal","score":0.6983485221862793},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.6206042766571045},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.5970842242240906},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.5480839610099792},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.5125765204429626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4896417260169983},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.42417460680007935},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.35409536957740784},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.27495044469833374},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15498951077461243},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.12234041094779968},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1186673641204834},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.06518813967704773}],"concepts":[{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.6983485221862793},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.6206042766571045},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.5970842242240906},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.5480839610099792},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.5125765204429626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4896417260169983},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.42417460680007935},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.35409536957740784},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27495044469833374},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15498951077461243},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.12234041094779968},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1186673641204834},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06518813967704773},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.22489/cinc.2022.080","is_oa":false,"landing_page_url":"https://doi.org/10.22489/cinc.2022.080","pdf_url":null,"source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"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":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G2090611752","display_name":null,"funder_award_id":"100346021","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G7563654734","display_name":null,"funder_award_id":"100346021","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W160785014","https://openalex.org/W187647308","https://openalex.org/W1988710410","https://openalex.org/W2145743401","https://openalex.org/W2146053734","https://openalex.org/W2502274362","https://openalex.org/W2784069108","https://openalex.org/W2803782048","https://openalex.org/W2805075551","https://openalex.org/W2912943321","https://openalex.org/W2944356707","https://openalex.org/W2955944204","https://openalex.org/W3036820083","https://openalex.org/W3118262189","https://openalex.org/W3202520680","https://openalex.org/W4240429504","https://openalex.org/W4300525701"],"related_works":["https://openalex.org/W4255463199","https://openalex.org/W2411039299","https://openalex.org/W1856410221","https://openalex.org/W2318949977","https://openalex.org/W2334139353","https://openalex.org/W4281691423","https://openalex.org/W4243014959","https://openalex.org/W4243994159","https://openalex.org/W4254613272","https://openalex.org/W2155045291"],"abstract_inverted_index":{"Arousals":[0],"during":[1,168],"sleep":[2,10,13,72,169],"give":[3],"deep":[4,65],"insights":[5],"into":[6,105],"the":[7,38,43,51,84,100,149,160,177,188],"pathophysiology":[8],"of":[9,71,89,130,144,152,162],"disorders":[11],"and":[12,34,102],"quality.Detecting":[14],"arousals":[15,40,73,167],"is":[16,28,35,54,122,181],"a":[17,23,56,64,106,112,123,128,136,141],"time-consuming":[18],"process":[19],"manually":[20],"performed":[21,29],"by":[22],"trained":[24],"expert.The":[25],"required":[26],"measurement":[27],"on":[30,154],"an":[31,146],"inpatient":[32],"basis":[33],"uncomfortable":[36],"for":[37,68,117],"patient.As":[39],"relate":[41],"to":[42,165,184],"autonomic":[44],"nervous":[45],"system,":[46],"they":[47],"also":[48],"reflect":[49],"in":[50,135],"electrocardiogram,":[52],"which":[53],"therefore":[55],"promising":[57],"alternative":[58],"biosignal.In":[59],"this":[60],"study,":[61],"we":[62,110],"developed":[63,77,111],"learning":[66,164],"model":[67],"automatic":[69],"detection":[70],"from":[74,83,99,170],"heart":[75,171,178],"rate.We":[76],"our":[78,173],"algorithm":[79],"using":[80],"5323":[81],"recordings":[82],"Sleep":[85],"Heart":[86],"Health":[87],"Study.1003":[88],"them":[90,104],"were":[91],"held-out":[92],"as":[93],"test":[94,156],"data.We":[95],"derived":[96],"RR":[97],"intervals":[98],"ECG":[101],"interpolated":[103],"4":[107],"Hz":[108],"signal.Next,":[109],"convolutional":[113],"neural":[114],"network":[115],"(CNN)":[116],"end-to-end":[118],"event":[119],"detection.Model":[120],"output":[121],"continuous":[124],"arousal":[125],"probability":[126],"with":[127],"frequency":[129],"1":[131],"Hz.The":[132],"optimization":[133],"resulted":[134],"twelve-layer":[137],"CNN":[138],"that":[139],"achieved":[140],"Cohens":[142],"kappa":[143],"0.47,":[145],"area":[147],"under":[148],"precision-recall":[150],"curve":[151],"0.54":[153],"hold-out":[155],"data.This":[157],"study":[158],"demonstrates":[159],"ability":[161],"machine":[163],"detect":[166],"rate.As":[172],"approach":[174],"uses":[175],"only":[176],"rate,":[179],"it":[180],"potentially":[182],"transferable":[183],"other":[185],"signals,":[186],"e.g.":[187],"photoplethysmogram.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}