{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T16:36:31Z","timestamp":1784738191430,"version":"3.55.0"},"reference-count":104,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2019,3,1]],"date-time":"2019-03-01T00:00:00Z","timestamp":1551398400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,3,1]],"date-time":"2019-03-01T00:00:00Z","timestamp":1551398400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,3,1]],"date-time":"2019-03-01T00:00:00Z","timestamp":1551398400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"ARDITI - Agencia Regional para o Desenvolvimento da Investigacao Tecnologia e Inovacao","award":["M1420-09-5369-FSE-000001 - PhD Studentship"],"award-info":[{"award-number":["M1420-09-5369-FSE-000001 - PhD Studentship"]}]},{"name":"Portuguese Foundation for Science and Technology","award":["Projeto Estrategico LA 9 - UID\/EEA\/50009\/2013."],"award-info":[{"award-number":["Projeto Estrategico LA 9 - UID\/EEA\/50009\/2013."]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2019,3]]},"DOI":"10.1109\/jbhi.2018.2823265","type":"journal-article","created":{"date-parts":[[2018,4,4]],"date-time":"2018-04-04T18:05:02Z","timestamp":1522865102000},"page":"825-837","source":"Crossref","is-referenced-by-count":193,"title":["A Review of Obstructive Sleep Apnea Detection Approaches"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5107-3248","authenticated-orcid":false,"given":"Fabio","family":"Mendonca","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7677-0971","authenticated-orcid":false,"given":"Sheikh Shanawaz","family":"Mostafa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8512-965X","authenticated-orcid":false,"given":"Antonio G.","family":"Ravelo-Garcia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7334-3993","authenticated-orcid":false,"given":"Fernando","family":"Morgado-Dias","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4304-0112","authenticated-orcid":false,"given":"Thomas","family":"Penzel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2016.05.009"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3233\/BME-141106"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0112959"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2013.2267096"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2056924"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICAT.2017.8171609"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2009.2031639"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.4015\/S1016237206000233"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICHI.2017.37"},{"key":"ref34","first-page":"91","article-title":"SpO2 based sleep apnea detection using deep learning","author":"mostafa","year":"2017","journal-title":"Proc 21st Intl Conf Intell Eng Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/GMEPE-PAHCE.2016.7504628"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2012.030502"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2008.05.006"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2017.2715405"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-010-0646-6"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/27\/4\/006"},{"key":"ref24","first-page":"43","article-title":"Sleep apnea hypopnea syndrome classification in SpO2 signals using wavelet decomposition and phase space reconstruction","author":"morales","year":"2017","journal-title":"Proc Int Conf Wearable Implantable Body Sensor Netw"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2009.05.010"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2012.2185809"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-012-0995-4"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-010-0674-2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2011.11.009"},{"key":"ref50","first-page":"959","article-title":"Cepstrum feature selection for the classification of sleep apnea-hypopnea syndrome based on heart rate variability","author":"ravelo-garcia","year":"2013","journal-title":"Proc Conf Computers in Cardiology"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2009.2029563"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2014.2345667"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2013.2292928"},{"key":"ref57","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12559-012-9184-x","article-title":"Automatic apnea identification by transformation of the cepstral domain","volume":"5","author":"travieso","year":"2013","journal-title":"Cogn Comput"},{"key":"ref56","first-page":"139","article-title":"Application of support vector machines and Gaussian mixture models for the detection of obstructive sleep apnoea based on the RR series","author":"ravelo","year":"2005","journal-title":"Proc 8th WSEAS Int Conf Appl Math"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/25\/4\/015"},{"key":"ref54","first-page":"1","article-title":"Sleep stage and obstructive apneaic epoch classification using single-lead ECG","volume":"9","author":"y?lmaz","year":"2010","journal-title":"Biomed Eng Online"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2015.2503284"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2016.05.006"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.12.062"},{"key":"ref4","first-page":"1610","article-title":"Home sleep testing","author":"penzel","year":"2016","journal-title":"Principles and Practice of Sleep Medicine"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/EIT.2012.6220730"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.5664\/jcsm.1328"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/26.7.907"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/237878"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1183\/09031936.03.00104902"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1053\/smrv.1999.0087"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2017.2757899"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1063\/1.4869825"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-011-0853-9"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/e17010123"},{"key":"ref47","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1055\/s-0038-1633835","article-title":"ECG analysis for sleep apnea detection","volume":"43","author":"zywietz","year":"2004","journal-title":"Methods Inf Med"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICEEICT.2015.7307522"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2017.2690805"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2011.6091502"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2009.5333736"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2010.01.008"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2013.2282337"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/EAIT.2012.6407868"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.04.080"},{"key":"ref76","first-page":"13053","article-title":"SAHS detection based on ANFIS using single channel airflow signal","volume":"5","author":"minu","year":"2016","journal-title":"International Journal of Innovative Research in Science Engineering and Technology"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.3233\/BME-151470"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/33\/7\/1261"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2013.6609953"},{"key":"ref78","doi-asserted-by":"crossref","DOI":"10.11159\/icbes16.117","article-title":"A time-series approach to predict obstructive sleep apnea (OSA) episodes","author":"ozdemir","year":"2016","journal-title":"Proc World Congr Elect Eng Comput Syst Sci"},{"key":"ref79","first-page":"819","article-title":"Sleep apnea event detection from nasal airflow using convolutional neural networks","author":"haidar","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref60","first-page":"199","article-title":"Recurrent neural network based classification of ECG signal features for obstruction of sleep apnea detection","author":"cheng","year":"2017","journal-title":"Proc IEEE Int Conf Comput Sci Eng Embedded Ubiquitous Comput"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2016.00460"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2017.7897263"},{"key":"ref63","first-page":"6105","article-title":"Detection of sleep apnea from surface ECG based on features extracted by an autoregressive model","author":"mendez","year":"2007","journal-title":"Proc 29th Annu Int Conf IEEE Eng Med Biol Soc"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2498199"},{"key":"ref65","doi-asserted-by":"crossref","first-page":"303","DOI":"10.3414\/ME13-02-0043","article-title":"Robust detection of sleep apnea from Holter ECGs","volume":"53","author":"maier","year":"2014","journal-title":"Methods Inf Med"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.3390\/e17030914"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.10.004"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2008.2004495"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.smrv.2016.07.002"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2008.11.003"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"1387","DOI":"10.1378\/chest.14-0970","article-title":"International classification of sleep disorders-third edition: highlights and modifications","volume":"146","author":"sateia","year":"2014","journal-title":"Chest"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1007\/s11325-011-0518-9"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2012.2188299"},{"key":"ref93","first-page":"400","article-title":"Spectral analysis of electroencephalogram and oximetric signals in obstructive sleep apnea diagnosis","author":"\u00e1lvarez","year":"0","journal-title":"Proc Annu Int Conf IEEE Eng Med Biol Soc 2009"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1378\/chest.123.5.1567"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-017-1706-y"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/489761"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1183\/20734735.008817"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-008-9129-9"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.5664\/jcsm.2148"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCSP.2017.7944095"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2005.1616994"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/ICSC.2017.87"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.3390\/e17052932"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"1543","DOI":"10.1378\/chest.124.4.1543","article-title":"Home diagnosis of sleep apnea: A systematic review of the literature","volume":"124","author":"flemons","year":"2003","journal-title":"Chest"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/BIBE.2013.6701674"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2014.07.004"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1142\/S0219519416400042"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.01.001"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CIC.2000.898505"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research","volume":"101","author":"goldberger","year":"2000","journal-title":"Circulation"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7320173"},{"key":"ref17","first-page":"1077","article-title":"The sleep heart health study: Design, rationale, and methods","volume":"20","author":"quan","year":"1997","journal-title":"Sleep"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/HIS.2011.6122171"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1046\/j.1440-1819.1999.00527.x"},{"key":"ref84","doi-asserted-by":"crossref","DOI":"10.11159\/icbes16.142","article-title":"Obstructive sleep apnea severity multiclass classification using analysis of snoring sounds","author":"praydas","year":"2016","journal-title":"Proc World Congr Elect Eng Comput Syst Sci"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5665\/sleep.5774"},{"key":"ref83","first-page":"310","article-title":"Apnea detection based on respiratory signal classification","author":"almazaydeh","year":"2013","journal-title":"Proc 3rd Int Conf Current Future Trends Inf Commun Technol Healthcare"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2013.6610674"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2013.08.002"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1016\/j.sleep.2007.07.010"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/32\/1\/006"},{"key":"ref87","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.1109\/TBME.2010.2100096","article-title":"Automatic detection of obstructive sleep apnea using speech signals","volume":"58","author":"elisha","year":"2011","journal-title":"IEEE Trans Biomed Eng"},{"key":"ref88","first-page":"1","article-title":"Assessment of severe apnoea through voice analysis, automatic speech, and speaker recognition techniques","volume":"2009","author":"pozo","year":"2009","journal-title":"EURASIP J Adv Signal Process"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/8660593\/08331075.pdf?arnumber=8331075","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:08:48Z","timestamp":1657746528000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8331075\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3]]},"references-count":104,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2018.2823265","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3]]}}}