{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T23:40:21Z","timestamp":1772235621999,"version":"3.50.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/tencon.2018.8650429","type":"proceedings-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T17:10:38Z","timestamp":1552929038000},"page":"2011-2016","source":"Crossref","is-referenced-by-count":50,"title":["Single Channel ECG for Obstructive Sleep Apnea Severity Detection Using a Deep Learning Approach"],"prefix":"10.1109","author":[{"given":"Nannapas","family":"Banluesombatkul","sequence":"first","affiliation":[{"name":"Bio-inspired Robotics and Neural Engineering Lab, Vidyasirimedhi Institute of Science & Technology, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thanawin","family":"Rakthanmanon","sequence":"additional","affiliation":[{"name":"Bio-inspired Robotics and Neural Engineering Lab, Vidyasirimedhi Institute of Science & Technology, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Theerawit","family":"Wilaiprasitporn","sequence":"additional","affiliation":[{"name":"Bio-inspired Robotics and Neural Engineering Lab, Vidyasirimedhi Institute of Science & Technology, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5665\/sleep.5776"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1109\/TBME.2016.2554138","article-title":"Apnea–hypopnea index prediction using electrocardiogram acquired during the sleep-onset period","volume":"64","author":"hwang","year":"2017","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2016.11.069"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1378\/chest.06-2432"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"985","DOI":"10.1109\/JBHI.2013.2252911","article-title":"Estimation of body postures on bed using unconstrained ecg measurements","volume":"17","author":"lee","year":"2013","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejim.2012.05.013"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jelectrocard.2015.04.017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2632976"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2013.2292928"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cct.2005.05.006"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2712861"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cct.2005.05.005"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2633986"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2007.06.003"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/20.6.423"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2014.2309951"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2014.2345667"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2013.04.080"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.5665\/sleep.5774"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.2011.03731.x"},{"key":"ref9","first-page":"115","article-title":"Learning precise timing with lstm recurrent networks","volume":"3","author":"gers","year":"2002","journal-title":"Journal of Machine Learning Research"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/36\/9\/1963"},{"key":"ref20","article-title":"Deep convolutional neural networks and learning ecg features for screening paroxysmal atrial fibrillation patients","author":"pourbabaee","year":"2017","journal-title":"IEEE Transactions on Systems Man and Cybernetics Systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2016.08.012"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2014.2311325"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2498199"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1093\/bja\/aes465"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2422378"},{"key":"ref25","article-title":"Gabor filter-based 1d-local phase descriptors for obstructive sleep apnea detection using single-lead ecg","author":"telagamsetti","year":"2018","journal-title":"IEEE Sensors J Lett"}],"event":{"name":"TENCON 2018 - 2018 IEEE Region 10 Conference","location":"Jeju, Korea (South)","start":{"date-parts":[[2018,10,28]]},"end":{"date-parts":[[2018,10,31]]}},"container-title":["TENCON 2018 - 2018 IEEE Region 10 Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8643125\/8650051\/08650429.pdf?arnumber=8650429","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T17:42:49Z","timestamp":1754588569000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8650429\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/tencon.2018.8650429","relation":{},"subject":[],"published":{"date-parts":[[2018,10]]}}}