{"id":"https://openalex.org/W2289608815","doi":"https://doi.org/10.1109/cic.2015.7411085","title":"New indices for sleep apnea detection from long-time ECG recordings","display_name":"New indices for sleep apnea detection from long-time ECG recordings","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2289608815","doi":"https://doi.org/10.1109/cic.2015.7411085","mag":"2289608815"},"language":"en","primary_location":{"id":"doi:10.1109/cic.2015.7411085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cic.2015.7411085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Computing in Cardiology Conference (CinC)","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/A5032573401","display_name":"Agata Pietrzak","orcid":"https://orcid.org/0000-0002-0476-5655"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Agata Pietrzak","raw_affiliation_strings":["Department of Mechatronics, Warsaw University of Technology, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechatronics, Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027382431","display_name":"Gerard Cybulski","orcid":"https://orcid.org/0000-0002-2917-2047"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]},{"id":"https://openalex.org/I4210157213","display_name":"Mossakowski Medical Research Institute,  Polish Academy of Sciences","ror":"https://ror.org/05d3ntb42","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210157213","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Gerard Cybulski","raw_affiliation_strings":["Department of Mechatronics, Warsaw University of Technology, Warsaw, Poland","Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, Warsaw, Poland","Polish Academy of Sciences, Mossakowski Medical Research Centre, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechatronics, Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, Warsaw, Poland","institution_ids":[]},{"raw_affiliation_string":"Polish Academy of Sciences, Mossakowski Medical Research Centre, Warsaw, Poland","institution_ids":["https://openalex.org/I4210157213","https://openalex.org/I99542240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0897,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83406662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1013","last_page":"1016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9998000264167786,"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":0.9998000264167786,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9976999759674072,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9883999824523926,"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/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.7794303894042969},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6553017497062683},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.5695861577987671},{"id":"https://openalex.org/keywords/heart-rate-variability","display_name":"Heart rate variability","score":0.5585057139396667},{"id":"https://openalex.org/keywords/sleep-apnea","display_name":"Sleep apnea","score":0.5267882943153381},{"id":"https://openalex.org/keywords/apnea","display_name":"Apnea","score":0.5247975587844849},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46748441457748413},{"id":"https://openalex.org/keywords/gold-standard","display_name":"Gold standard (test)","score":0.4465199410915375},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42132511734962463},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40663301944732666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3854438066482544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35693246126174927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2995012104511261},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2939821481704712},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.20211941003799438},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.1742365062236786},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1331108808517456},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10115525126457214},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.0647318959236145}],"concepts":[{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.7794303894042969},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6553017497062683},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.5695861577987671},{"id":"https://openalex.org/C71635504","wikidata":"https://www.wikidata.org/wiki/Q933954","display_name":"Heart rate variability","level":4,"score":0.5585057139396667},{"id":"https://openalex.org/C2777935920","wikidata":"https://www.wikidata.org/wiki/Q213600","display_name":"Sleep apnea","level":2,"score":0.5267882943153381},{"id":"https://openalex.org/C2781326671","wikidata":"https://www.wikidata.org/wiki/Q754424","display_name":"Apnea","level":2,"score":0.5247975587844849},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46748441457748413},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.4465199410915375},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42132511734962463},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40663301944732666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3854438066482544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35693246126174927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2995012104511261},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2939821481704712},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.20211941003799438},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.1742365062236786},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1331108808517456},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10115525126457214},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0647318959236145},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cic.2015.7411085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cic.2015.7411085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16"},{"display_name":"Reduced inequalities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1994897210","https://openalex.org/W2012063116","https://openalex.org/W2028850797","https://openalex.org/W2107216158","https://openalex.org/W2119821739","https://openalex.org/W2124052130","https://openalex.org/W2133589238","https://openalex.org/W2134643078","https://openalex.org/W2139562446","https://openalex.org/W2160566248","https://openalex.org/W2162273778","https://openalex.org/W2333343699","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2130940895","https://openalex.org/W1481679924","https://openalex.org/W2268943783","https://openalex.org/W2334628610","https://openalex.org/W1973318088","https://openalex.org/W2317638083","https://openalex.org/W4285049360","https://openalex.org/W2990628615","https://openalex.org/W1630610588","https://openalex.org/W2019146337"],"abstract_inverted_index":{"We":[0,32],"used":[1,56],"our":[2],"computer":[3],"program":[4],"enabling":[5],"detection":[6],"of":[7,20,44,51,84,107,114,137,146,148,159],"sleep":[8],"apnea":[9],"using":[10,89],"long-time":[11],"one-channel":[12],"ECG":[13,66],"signal":[14],"recordings.":[15],"It":[16],"allows":[17],"the":[18,61,85,90,104,121,138,153,157,164],"calculations":[19],"commonly":[21],"accepted":[22],"six":[23,49,150],"heart":[24],"rate":[25],"variability":[26],"(HRV)":[27],"parameters":[28],"in":[29],"time":[30],"domain.":[31],"also":[33],"introduced":[34],"additional":[35],"34":[36],"indices":[37,50,100,141,152],"which":[38,142],"were":[39,130,173],"created":[40],"as":[41],"a":[42],"combination":[43],"selected":[45],"or":[46],"all":[47,149],"basic":[48,97],"HRV.":[52],"For":[53,96,135],"testing":[54],"we":[55,101],"70":[57],"sample":[58],"recordings":[59],"from":[60],"Physionet":[62],"database":[63],"containing":[64],"single":[65],"signals":[67],"7":[68],"to":[69],"10":[70],"hours":[71],"long.":[72],"The":[73,82,118,126,161,169],"analysis":[74],"was":[75,87,109,124,143,155,167],"performed":[76],"on":[77],"samples":[78],"lasting":[79],"10000":[80],"seconds.":[81],"efficiency":[83],"software":[86],"evaluated":[88],"Receiver":[91],"Operating":[92],"Characteristic":[93],"(ROC)":[94],"method.":[95],"6":[98],"HRV":[99],"found":[102],"that":[103],"highest":[105],"accuracy":[106,154],"discrimination":[108],"achieved":[110],"for":[111],"standard":[112],"deviation":[113],"successive":[115],"differences":[116],"(88.5%).":[117],"area":[119,162],"under":[120,163],"ROC":[122,165],"curve":[123,166],"0.89.":[125],"sensitivity":[127,170],"and":[128,132,171,175],"specifity":[129,172],"96%":[131],"70%,":[133,176],"respectively.":[134,177],"one":[136],"newly":[139],"proposed":[140],"average":[144],"sum":[145],"square":[147],"base":[151],"at":[156],"level":[158],"90%.":[160],"0.85.":[168],"98%":[174]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
