{"id":"https://openalex.org/W3082118160","doi":"https://doi.org/10.1109/embc44109.2020.9176413","title":"Automatic Detection of Respiratory Effort Related Arousals With Deep Neural Networks From Polysomnographic Recordings","display_name":"Automatic Detection of Respiratory Effort Related Arousals With Deep Neural Networks From Polysomnographic Recordings","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082118160","doi":"https://doi.org/10.1109/embc44109.2020.9176413","mag":"3082118160","pmid":"https://pubmed.ncbi.nlm.nih.gov/33017953"},"language":"en","primary_location":{"id":"doi:10.1109/embc44109.2020.9176413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9176413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5041427746","display_name":"Sajila Wickramaratne","orcid":"https://orcid.org/0000-0003-1045-8616"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sajila D. Wickramaratne","raw_affiliation_strings":["Department of Electrical Computer Engineering, University of New Hampshire, Durham, NH, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Computer Engineering, University of New Hampshire, Durham, NH, United States","institution_ids":["https://openalex.org/I161057412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034911492","display_name":"Md Shaad Mahmud","orcid":"https://orcid.org/0000-0003-0454-565X"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MD Shaad Mahmud","raw_affiliation_strings":["Department of Electrical Computer Engineering, University of New Hampshire, Durham, NH, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Computer Engineering, University of New Hampshire, Durham, NH, United States","institution_ids":["https://openalex.org/I161057412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161057412"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"154","last_page":"157"},"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9919000267982483,"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/T10985","display_name":"Sleep and Wakefulness Research","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7438797950744629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6668900847434998},{"id":"https://openalex.org/keywords/polysomnography","display_name":"Polysomnography","score":0.6432459354400635},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6020143032073975},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5115926861763},{"id":"https://openalex.org/keywords/sleep-stages","display_name":"Sleep Stages","score":0.4744207262992859},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4722035825252533},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4688032269477844},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4261702299118042},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.38923341035842896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3863641023635864},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.3768542408943176},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08901539444923401},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07811802625656128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7438797950744629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6668900847434998},{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.6432459354400635},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6020143032073975},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5115926861763},{"id":"https://openalex.org/C2910364982","wikidata":"https://www.wikidata.org/wiki/Q35831","display_name":"Sleep Stages","level":4,"score":0.4744207262992859},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4722035825252533},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4688032269477844},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4261702299118042},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38923341035842896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3863641023635864},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.3768542408943176},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08901539444923401},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07811802625656128}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001143","descriptor_name":"Arousal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001143","descriptor_name":"Arousal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001143","descriptor_name":"Arousal","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":true},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017286","descriptor_name":"Polysomnography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017286","descriptor_name":"Polysomnography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017286","descriptor_name":"Polysomnography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc44109.2020.9176413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9176413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:33017953","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33017953","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","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":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2141173017","https://openalex.org/W2912829709","https://openalex.org/W2912943321","https://openalex.org/W2914296703","https://openalex.org/W2948305090","https://openalex.org/W2962684187","https://openalex.org/W2963078493","https://openalex.org/W2965476408","https://openalex.org/W2971356698","https://openalex.org/W4293568472","https://openalex.org/W6680930200","https://openalex.org/W6685802191"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W3010890513","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"Sleep":[0],"disorders":[1,19],"have":[2],"become":[3],"more":[4],"common":[5],"due":[6],"to":[7,30,53,90,160],"the":[8,65,94,107,116,124,127,135,139,142,145,211,219],"modern":[9],"lifestyle":[10],"and":[11,32,84,169],"stress.":[12],"The":[13,36,120],"most":[14],"severe":[15],"case":[16],"of":[17,39,57,74,77,115,141,218],"sleep":[18,34,40,60,162],"called":[20],"apnea":[21],"is":[22,42,51,132,152],"characterized":[23],"by":[24],"a":[25,48,67,75,153,156,182,192,204],"complete":[26],"breaking":[27],"block,":[28],"leading":[29],"awakening":[31],"subsequent":[33],"disturbances.":[35],"automatic":[37],"detection":[38],"arousals":[41,58,190],"still":[43],"challenging.":[44],"In":[45],"this":[46,201],"paper,":[47],"novel":[49],"method":[50],"presented":[52],"detect":[54,187],"non-apnea":[55],"sources":[56],"during":[59],"using":[61,191],"Polysomnography(PSG)":[62],"recordings.":[63],"After":[64],"preprocessing,":[66],"sequence-to-sequence":[68],"deep":[69,193],"neural":[70,194],"network":[71,195],"(DNNs)":[72],"consisting":[73,114],"series":[76],"Bidirectional":[78],"long":[79],"short-term":[80],"memory":[81],"(Bi-LSTM)":[82],"layer,":[83],"fully":[85],"connected":[86],"layers":[87],"were":[88,100],"trained":[89,118],"classify":[91],"samples":[92],"in":[93,144],"segments.":[95],"Initially,":[96],"three":[97,117],"different":[98,103,171],"models":[99],"prepared":[101],"for":[102,134],"datasets.":[104],"Finally,":[105],"obtaining":[106],"classification":[108],"result":[109,121],"through":[110],"an":[111],"ensemble":[112],"model":[113],"models.":[119],"shows":[122],"that":[123,174,184,208],"area":[125],"under":[126],"receiver":[128],"precision-recall":[129],"curve":[130],"(AUPRC)":[131],"0.59":[133],"test":[136],"dataset":[137],"exceeding":[138],"performance":[140],"classifiers":[143],"existing":[146],"literature.Clinical":[147],"relevance-":[148],"Analyzing":[149],"Polysomnographic":[150,197],"recordings":[151,165],"time":[154],"consuming":[155],"critical":[157],"process":[158,202,213],"yet":[159],"identify":[161],"disorders.":[163],"These":[164],"span":[166],"several":[167],"hours":[168],"contain":[170],"data":[172],"streams":[173],"include":[175],"EEG,":[176],"EMG,":[177],"etc.":[178],"This":[179],"paper":[180],"proposes":[181],"system":[183,220],"can":[185,209],"automatically":[186],"respiratory":[188],"effort-related":[189],"from":[196],"Recordings.":[198],"By":[199],"automating":[200],"with":[203,221],"machine":[205],"learning-based":[206],"solution":[207],"eliminate":[210],"manual":[212],"while":[214],"facilitating":[215],"further":[216],"improvements":[217],"future":[222],"data.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
