{"id":"https://openalex.org/W2901348870","doi":"https://doi.org/10.1109/access.2018.2882270","title":"Data Mining for Patient Friendly Apnea Detection","display_name":"Data Mining for Patient Friendly Apnea Detection","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2901348870","doi":"https://doi.org/10.1109/access.2018.2882270","mag":"2901348870"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2882270","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2882270","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2882270","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081155130","display_name":"Stein Kristiansen","orcid":"https://orcid.org/0000-0002-1434-9524"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Stein Kristiansen","raw_affiliation_strings":["Department of Informatics, University of Oslo, Oslo, Norway"],"raw_orcid":"https://orcid.org/0000-0002-1434-9524","affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026577850","display_name":"Mari S\u00f8nsteby Hugaas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mari Sonsteby Hugaas","raw_affiliation_strings":["Norkart, Lillehammer, AS, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norkart, Lillehammer, AS, Norway","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008729338","display_name":"Vera Goebel","orcid":"https://orcid.org/0000-0002-2850-066X"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Vera Goebel","raw_affiliation_strings":["Department of Informatics, University of Oslo, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058872571","display_name":"Thomas Plagemann","orcid":"https://orcid.org/0000-0002-2598-9228"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Thomas Plagemann","raw_affiliation_strings":["Department of Informatics, University of Oslo, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102843515","display_name":"Konstantinos Nikolaidis","orcid":"https://orcid.org/0000-0002-2434-2780"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Konstantinos Nikolaidis","raw_affiliation_strings":["Department of Informatics, University of Oslo, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062795964","display_name":"Knut Liest\u00f8l","orcid":"https://orcid.org/0000-0002-7929-582X"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Knut Liestol","raw_affiliation_strings":["Department of Informatics, University of Oslo, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.6275,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83879298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"74598","last_page":"74615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":1.0,"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":1.0,"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":0.9710000157356262,"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/T11456","display_name":"Neuroscience of respiration and sleep","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/2807","display_name":"Endocrine and Autonomic Systems"},"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":0.6381127834320068},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6321841478347778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5930700898170471},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5601170659065247},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5507012605667114},{"id":"https://openalex.org/keywords/sleep-apnea","display_name":"Sleep apnea","score":0.5478205680847168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5420405268669128},{"id":"https://openalex.org/keywords/apnea","display_name":"Apnea","score":0.5086916089057922},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4920763373374939},{"id":"https://openalex.org/keywords/obstructive-sleep-apnea","display_name":"Obstructive sleep apnea","score":0.44770386815071106},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40378838777542114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34106022119522095},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.27367502450942993},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.14757999777793884},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1387084722518921}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6381127834320068},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6321841478347778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5930700898170471},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5601170659065247},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5507012605667114},{"id":"https://openalex.org/C2777935920","wikidata":"https://www.wikidata.org/wiki/Q213600","display_name":"Sleep apnea","level":2,"score":0.5478205680847168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5420405268669128},{"id":"https://openalex.org/C2781326671","wikidata":"https://www.wikidata.org/wiki/Q754424","display_name":"Apnea","level":2,"score":0.5086916089057922},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4920763373374939},{"id":"https://openalex.org/C2776006263","wikidata":"https://www.wikidata.org/wiki/Q16606552","display_name":"Obstructive sleep apnea","level":2,"score":0.44770386815071106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40378838777542114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34106022119522095},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27367502450942993},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.14757999777793884},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1387084722518921},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2018.2882270","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2882270","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5f017b366159495080be937afdcc6517","is_oa":true,"landing_page_url":"https://doaj.org/article/5f017b366159495080be937afdcc6517","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 74598-74615 (2018)","raw_type":"article"},{"id":"pmh:oai:www.duo.uio.no:10852/71464","is_oa":true,"landing_page_url":"http://hdl.handle.net/10852/71464","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2169-3536","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:www.duo.uio.no:10852/96587","is_oa":true,"landing_page_url":"http://hdl.handle.net/10852/96587","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2882270","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2882270","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G2915752006","display_name":null,"funder_award_id":"250239/O70","funder_id":"https://openalex.org/F4320323299","funder_display_name":"Norges Forskningsr\u00e5d"}],"funders":[{"id":"https://openalex.org/F4320323299","display_name":"Norges Forskningsr\u00e5d","ror":"https://ror.org/00epmv149"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1701321738","https://openalex.org/W1966976587","https://openalex.org/W1970074386","https://openalex.org/W2002096058","https://openalex.org/W2005341920","https://openalex.org/W2005923810","https://openalex.org/W2026191693","https://openalex.org/W2030725847","https://openalex.org/W2037821910","https://openalex.org/W2046717331","https://openalex.org/W2051812123","https://openalex.org/W2053154970","https://openalex.org/W2053892210","https://openalex.org/W2055163496","https://openalex.org/W2057023498","https://openalex.org/W2077889503","https://openalex.org/W2103352348","https://openalex.org/W2106336403","https://openalex.org/W2121034421","https://openalex.org/W2123880517","https://openalex.org/W2131111256","https://openalex.org/W2139562446","https://openalex.org/W2150486918","https://openalex.org/W2161068347","https://openalex.org/W2164179736","https://openalex.org/W2170268036","https://openalex.org/W2293433835","https://openalex.org/W2319970884","https://openalex.org/W2538423124","https://openalex.org/W2549975402","https://openalex.org/W2570348948","https://openalex.org/W2751057789","https://openalex.org/W2789916407","https://openalex.org/W2795937596","https://openalex.org/W2883682098","https://openalex.org/W2896241175","https://openalex.org/W2911964244","https://openalex.org/W4205774955","https://openalex.org/W4294214983","https://openalex.org/W4322384764","https://openalex.org/W6729089581","https://openalex.org/W6959810635"],"related_works":["https://openalex.org/W1481679924","https://openalex.org/W2268943783","https://openalex.org/W2933756203","https://openalex.org/W2334628610","https://openalex.org/W2990628615","https://openalex.org/W4285049360","https://openalex.org/W1973318088","https://openalex.org/W3159087937","https://openalex.org/W2317638083","https://openalex.org/W1630610588"],"abstract_inverted_index":{"Obstructive":[0],"sleep":[1,10,19,57],"apnea":[2,96],"(OSA)":[3],"is":[4,32,278,290],"a":[5,62,74,195],"common":[6],"but":[7],"severely":[8],"under-diagnosed":[9],"disorder":[11],"that":[12,81,264,285],"affects":[13],"the":[14,21,38,46,100,109,114,146,161,166,201,227,253,259,275,288,291],"natural":[15],"breathing":[16],"cycle":[17],"during":[18],"with":[20,50,90,171,194,226,252],"periods":[22],"of":[23,40,77,102,111,158,169,192,197,211,238,255,279],"reduced":[24],"respiration":[25,198,286],"or":[26,124],"no":[27],"airflow":[28],"at":[29,59],"all.":[30],"It":[31],"our":[33],"long-term":[34],"goal":[35],"to":[36,48,94,107,270],"increase":[37],"percentage":[39],"diagnosed":[41],"OSA":[42,86],"cases":[43],"and":[44,53,116,135,150,165,183,203,208,242,282,284,299],"reduce":[45],"time":[47],"diagnosis":[49,87],"user":[51],"friendly":[52],"cost-efficient":[54],"tools":[55],"for":[56,155,215,233],"analysis":[58],"home.":[60],"As":[61],"first":[63],"step":[64],"towards":[65],"this":[66,71,140],"goal,":[67],"we":[68,188],"study":[69,99],"in":[70,84,88,139,258],"paper":[72,141],"whether":[73],"small":[75],"subset":[76],"those":[78],"physiological":[79],"signals":[80,144,160,256],"are":[82,129,223,235],"used":[83],"classical":[85],"combination":[89,157,196],"automatic":[91],"classification":[92,170,297],"allows":[93],"detect":[95,271],"events.":[97],"We":[98,137,153,262],"performance":[101,298],"five":[103],"data":[104,112,128,199,207,276],"mining":[105],"techniques":[106],"classify":[108],"epochs":[110],"from":[113,119,145,200,287],"Apnea-ECG":[115],"MIT-BIH":[117,234],"databases":[118],"PhysioNet":[120],"as":[121,205],"either":[122],"disrupted":[123,272],"normal":[125],"breathing.":[126],"The":[127,231,246],"only":[130],"slightly":[131],"preprocessed":[132],"(rate":[133],"reduction":[134],"normalization).":[136],"focus":[138],"on":[142],"respiratory":[143],"nose,":[147],"abdomen,":[148],"chest,":[149],"oxygen":[151],"saturation.":[152],"measure":[154],"any":[156],"these":[159,220],"accuracy,":[162],"sensitivity,":[163],"specificity,":[164],"Kappa":[167],"statistics":[168],"artificial":[172],"neural":[173],"network,":[174],"support":[175],"vector":[176],"machine,":[177],"decision":[178],"tree,":[179],"K-nearest":[180],"neighbor":[181],"(KNN),":[182],"random":[184],"forest.":[185],"For":[186],"Apnea-ECG,":[187],"achieve":[189],"an":[190,209],"accuracy":[191,210,247],"96.6%":[193],"chest":[202],"nose":[204],"input":[206],"more":[212],"than":[213],"90%":[214],"all":[216],"signal":[217,260,266],"combinations.":[218,261],"Interestingly,":[219],"good":[221],"results":[222,232],"also":[224],"achieved":[225],"simple":[228],"KNN":[229],"technique.":[230],"lower,":[236],"because":[237],"noise,":[239],"smaller":[240],"size,":[241,283],"some":[243],"class":[244],"imbalance.":[245],"does":[248],"not":[249],"significantly":[250],"improves":[251],"number":[254],"included":[257],"conclude":[263],"one":[265],"might":[267],"be":[268],"sufficient":[269,280],"breathing,":[273],"if":[274],"set":[277],"quality":[281],"abdomen":[289],"preferable":[292],"choice":[293],"when":[294],"considering":[295],"both":[296],"patient":[300],"comfort.":[301]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}