{"id":"https://openalex.org/W2161068347","doi":"https://doi.org/10.1109/eit.2012.6220730","title":"Detection of obstructive sleep apnea through ECG signal features","display_name":"Detection of obstructive sleep apnea through ECG signal features","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2161068347","doi":"https://doi.org/10.1109/eit.2012.6220730","mag":"2161068347"},"language":"en","primary_location":{"id":"doi:10.1109/eit.2012.6220730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2012.6220730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Electro/Information Technology","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/A5066461201","display_name":"Laiali Almazaydeh","orcid":null},"institutions":[{"id":"https://openalex.org/I154300980","display_name":"University of Bridgeport","ror":"https://ror.org/01rf3yp57","country_code":"US","type":"education","lineage":["https://openalex.org/I154300980"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laiali Almazaydeh","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT, USA","institution_ids":["https://openalex.org/I154300980"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070765307","display_name":"Khaled Elleithy","orcid":"https://orcid.org/0000-0001-9239-5035"},"institutions":[{"id":"https://openalex.org/I154300980","display_name":"University of Bridgeport","ror":"https://ror.org/01rf3yp57","country_code":"US","type":"education","lineage":["https://openalex.org/I154300980"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khaled Elleithy","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT, USA","institution_ids":["https://openalex.org/I154300980"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031601451","display_name":"Miad Faezipour","orcid":"https://orcid.org/0000-0003-2684-0887"},"institutions":[{"id":"https://openalex.org/I154300980","display_name":"University of Bridgeport","ror":"https://ror.org/01rf3yp57","country_code":"US","type":"education","lineage":["https://openalex.org/I154300980"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miad Faezipour","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT, USA","institution_ids":["https://openalex.org/I154300980"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2193,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.87589618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9779999852180481,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9563000202178955,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/polysomnography","display_name":"Polysomnography","score":0.7933985590934753},{"id":"https://openalex.org/keywords/sleep-apnea","display_name":"Sleep apnea","score":0.6688563823699951},{"id":"https://openalex.org/keywords/obstructive-sleep-apnea","display_name":"Obstructive sleep apnea","score":0.6485769748687744},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5822222232818604},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5755364894866943},{"id":"https://openalex.org/keywords/apnea","display_name":"Apnea","score":0.5715082883834839},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.5684670209884644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5052328705787659},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.42468857765197754},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.38399970531463623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37735334038734436},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.2522125840187073},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.21313878893852234}],"concepts":[{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.7933985590934753},{"id":"https://openalex.org/C2777935920","wikidata":"https://www.wikidata.org/wiki/Q213600","display_name":"Sleep apnea","level":2,"score":0.6688563823699951},{"id":"https://openalex.org/C2776006263","wikidata":"https://www.wikidata.org/wiki/Q16606552","display_name":"Obstructive sleep apnea","level":2,"score":0.6485769748687744},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5822222232818604},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5755364894866943},{"id":"https://openalex.org/C2781326671","wikidata":"https://www.wikidata.org/wiki/Q754424","display_name":"Apnea","level":2,"score":0.5715082883834839},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.5684670209884644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5052328705787659},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.42468857765197754},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.38399970531463623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37735334038734436},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.2522125840187073},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.21313878893852234},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eit.2012.6220730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2012.6220730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Electro/Information Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.678.9107","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.678.9107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://khaledelleithy.org/Conferences/DetectionObstructiveSleepApneaThroughECGSignalFeatures.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1523682477","https://openalex.org/W1994897210","https://openalex.org/W2002342539","https://openalex.org/W2012063116","https://openalex.org/W2013405048","https://openalex.org/W2028850797","https://openalex.org/W2074330864","https://openalex.org/W2114299092","https://openalex.org/W2117245153","https://openalex.org/W2128261760","https://openalex.org/W2131111256","https://openalex.org/W2139562446","https://openalex.org/W2140331694","https://openalex.org/W2148857134","https://openalex.org/W6959810635"],"related_works":["https://openalex.org/W3004206652","https://openalex.org/W2016370421","https://openalex.org/W2186303850","https://openalex.org/W2985785409","https://openalex.org/W2037309944","https://openalex.org/W1481679924","https://openalex.org/W2322198899","https://openalex.org/W2268943783","https://openalex.org/W2359190987","https://openalex.org/W2933756203"],"abstract_inverted_index":{"Obstructive":[0],"sleep":[1,18,35,51,102,123],"apnea":[2,19,52,103],"(OSA)":[3],"is":[4,42,72,88],"a":[5,126,142,148],"common":[6],"disorder":[7],"in":[8],"which":[9,74],"individuals":[10],"stop":[11],"breathing":[12],"during":[13],"their":[14],"sleep.":[15],"Most":[16],"of":[17,25,30,79,122,129,147],"cases":[20],"are":[21,54],"currently":[22],"undiagnosed":[23],"because":[24],"expenses":[26],"and":[27,62,95,99,108],"practicality":[28],"limitations":[29],"overnight":[31],"polysomnography":[32],"(PSG)":[33],"at":[34],"labs,":[36],"where":[37],"an":[38,68],"expert":[39],"human":[40],"observer":[41],"needed":[43],"to":[44],"work":[45],"over":[46],"night.":[47],"New":[48],"techniques":[49],"for":[50,59,144,150],"classification":[53,70,86,117],"being":[55],"developed":[56,137],"by":[57],"bioengineers":[58],"most":[60],"comfortable":[61],"timely":[63],"detection.":[64],"In":[65],"this":[66],"paper,":[67],"automated":[69,85,116],"algorithm":[71,87],"presented":[73],"processes":[75],"short":[76],"duration":[77],"epochs":[78,121],"the":[80,134],"electrocardiogram":[81],"(ECG)":[82],"data.":[83],"The":[84,111],"based":[89],"on":[90,101],"support":[91],"vector":[92],"machines":[93],"(SVM)":[94],"has":[96],"been":[97],"trained":[98],"tested":[100],"recordings":[104],"from":[105],"subjects":[106],"with":[107,125],"without":[109],"OSA.":[110],"results":[112],"show":[113],"that":[114],"our":[115],"system":[118,135],"can":[119,138],"recognize":[120],"disorders":[124],"high":[127],"degree":[128],"accuracy,":[130],"approximately":[131],"96.5%.":[132],"Moreover,":[133],"we":[136],"be":[139],"used":[140],"as":[141],"basis":[143],"future":[145],"development":[146],"tool":[149],"OSA":[151],"screening.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
