{"id":"https://openalex.org/W2955944204","doi":"https://doi.org/10.1109/ismict.2019.8743755","title":"Individualized Sleep Stage Classification from Cardiorespiratory Features","display_name":"Individualized Sleep Stage Classification from Cardiorespiratory Features","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2955944204","doi":"https://doi.org/10.1109/ismict.2019.8743755","mag":"2955944204"},"language":"en","primary_location":{"id":"doi:10.1109/ismict.2019.8743755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismict.2019.8743755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 13th International Symposium on Medical Information and Communication Technology (ISMICT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/99629/99629.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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":true,"raw_author_name":"Miriam Goldammer","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, TU Dresden, Institute of Biomedical Engineering, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, TU Dresden, Institute of Biomedical Engineering, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020867334","display_name":"Lucas Weber","orcid":"https://orcid.org/0000-0002-6877-6935"},"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":"Lucas Weber","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, TU Dresden, Institute of Biomedical Engineering, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, TU Dresden, Institute of Biomedical Engineering, 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":["Faculty of Electrical and Computer Engineering, TU Dresden, Institute of Biomedical Engineering, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, TU Dresden, Institute of Biomedical Engineering, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022376545","display_name":"Sebastian Zaunseder","orcid":"https://orcid.org/0000-0001-6114-3142"},"institutions":[{"id":"https://openalex.org/I159743108","display_name":"Dortmund University of Applied Sciences and Arts","ror":"https://ror.org/03dv91853","country_code":"DE","type":"education","lineage":["https://openalex.org/I159743108"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Zaunseder","raw_affiliation_strings":["Department of Information Technology, University of Applied Sciences and Arts, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, University of Applied Sciences and Arts, Dortmund, Germany","institution_ids":["https://openalex.org/I159743108"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084327340"],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":null,"apc_paid":null,"fwci":0.3648,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58530251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.809349000453949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6987324953079224},{"id":"https://openalex.org/keywords/cardiorespiratory-fitness","display_name":"Cardiorespiratory fitness","score":0.6937283277511597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6847662925720215},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.665746808052063},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6052504777908325},{"id":"https://openalex.org/keywords/cohens-kappa","display_name":"Cohen's kappa","score":0.5576328635215759},{"id":"https://openalex.org/keywords/sleep-stages","display_name":"Sleep Stages","score":0.5303234457969666},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.46868306398391724},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.4103477895259857},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.26943859457969666},{"id":"https://openalex.org/keywords/polysomnography","display_name":"Polysomnography","score":0.17243024706840515},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15026986598968506},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.09480693936347961},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08924534916877747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08692866563796997}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.809349000453949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6987324953079224},{"id":"https://openalex.org/C117437137","wikidata":"https://www.wikidata.org/wiki/Q5038720","display_name":"Cardiorespiratory fitness","level":2,"score":0.6937283277511597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6847662925720215},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.665746808052063},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6052504777908325},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.5576328635215759},{"id":"https://openalex.org/C2910364982","wikidata":"https://www.wikidata.org/wiki/Q35831","display_name":"Sleep Stages","level":4,"score":0.5303234457969666},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.46868306398391724},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.4103477895259857},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.26943859457969666},{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.17243024706840515},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15026986598968506},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.09480693936347961},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08924534916877747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08692866563796997},{"id":"https://openalex.org/C2781326671","wikidata":"https://www.wikidata.org/wiki/Q754424","display_name":"Apnea","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ismict.2019.8743755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismict.2019.8743755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 13th International Symposium on Medical Information and Communication Technology (ISMICT)","raw_type":"proceedings-article"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:99629","is_oa":true,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/99629","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/99629/99629.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conferenceobject"}],"best_oa_location":{"id":"pmh:oai:uni-augsburg.opus-bayern.de:99629","is_oa":true,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/99629","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/99629/99629.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conferenceobject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2955944204.pdf","grobid_xml":"https://content.openalex.org/works/W2955944204.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W160785014","https://openalex.org/W236448318","https://openalex.org/W1444168786","https://openalex.org/W1638975642","https://openalex.org/W1873332500","https://openalex.org/W1988710410","https://openalex.org/W1996969686","https://openalex.org/W2014915963","https://openalex.org/W2053154970","https://openalex.org/W2066849720","https://openalex.org/W2101709445","https://openalex.org/W2104614052","https://openalex.org/W2153482126","https://openalex.org/W2285072859","https://openalex.org/W2610111620","https://openalex.org/W2808472211","https://openalex.org/W6606539394","https://openalex.org/W6628505203","https://openalex.org/W6639175750"],"related_works":["https://openalex.org/W2975651620","https://openalex.org/W2914037311","https://openalex.org/W3090383809","https://openalex.org/W3166806441","https://openalex.org/W2510206144","https://openalex.org/W2964297678","https://openalex.org/W3127831561","https://openalex.org/W2768909027","https://openalex.org/W3148787595","https://openalex.org/W4376528628"],"abstract_inverted_index":{"Modern":[0],"patient":[1],"care":[2],"aims":[3],"for":[4,42,167],"individualized":[5,43,68,135,181],"solutions.":[6,44],"Current":[7],"machine":[8,56],"learning":[9,57],"techniques,":[10],"in":[11,14,70,151,204],"general":[12],"and":[13],"the":[15,30,40,49,64,71,91,111,134,164,177,186,199],"medical":[16],"domain,":[17],"typically":[18],"incorporate":[19],"big":[20],"amounts":[21],"of":[22,32,51,67,73,90,110,116,125,156,179],"data.":[23],"In":[24],"fact,":[25],"more":[26],"data":[27],"contributes":[28],"to":[29,140,160,193],"generalizability":[31],"said":[33],"techniques.":[34,58],"However,":[35],"it":[36],"might":[37],"conflict":[38],"with":[39],"desire":[41],"Our":[45,130],"works":[46,190],"aim":[47],"at":[48],"implementation":[50],"individual":[52],"solutions":[53],"based":[54,106],"on":[55,107,185],"Within":[59],"this":[60],"contribution,":[61],"we":[62,82,99],"investigate":[63],"potential":[65,178],"benefit":[66],"classifiers":[69],"context":[72],"automatic":[74],"sleep":[75,84],"staging":[76],"using":[77,87],"cardiorespiratory":[78],"features.To":[79],"that":[80,104,133,143,196],"end,":[81],"performed":[83],"stage":[85],"classification":[86,138,182],"237":[88],"records":[89],"Sleep":[92],"Heart":[93],"Health":[94],"Study.":[95],"For":[96],"each":[97],"patient,":[98],"trained":[100],"an":[101,180,205],"ensemble":[102],"classifier":[103,136,142],"is":[105],"a":[108,122,141],"subset":[109,165,203],"available":[112,146],"patients.":[113],"Such":[114],"subsets":[115],"varying":[117],"size":[118],"were":[119],"chosen":[120],"by":[121,148],"modified":[123],"version":[124],"sequential":[126],"forward":[127],"floating":[128],"selection.":[129],"results":[131],"show":[132],"improves":[137],"compared":[139],"uses":[144],"all":[145],"patients":[147],"30%":[149],"(improvement":[150],"Cohen's":[152],"kappa":[153],"coefficient":[154],"(\u03ba)":[155],"0.15":[157],"from":[158],"0.46":[159],"0.61).":[161],"On":[162],"average":[163],"used":[166],"training":[168,202],"thereby":[169],"includes":[170],"five":[171],"patients.The":[172],"presented":[173],"contribution":[174],"clearly":[175],"depicts":[176],"approach.":[183],"Based":[184],"current":[187],"results,":[188],"future":[189],"will":[191],"try":[192],"establish":[194],"metrics":[195],"can":[197],"identify":[198],"most":[200],"appropriate":[201],"unsupervised":[206],"way.":[207]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}