{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T20:31:39Z","timestamp":1771705899385,"version":"3.50.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"name":"Lenovo Technology B.V. Taiwan Branch"},{"DOI":"10.13039\/501100004874","name":"Chung-Shan Institute of Science and Technology","doi-asserted-by":"publisher","award":["CSIST-095-V301"],"award-info":[{"award-number":["CSIST-095-V301"]}],"id":[{"id":"10.13039\/501100004874","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004874","name":"Chung-Shan Institute of Science and Technology","doi-asserted-by":"publisher","award":["CSIST-095-V302"],"award-info":[{"award-number":["CSIST-095-V302"]}],"id":[{"id":"10.13039\/501100004874","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51475342"],"award-info":[{"award-number":["51475342"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2912273","type":"journal-article","created":{"date-parts":[[2019,4,25]],"date-time":"2019-04-25T21:41:02Z","timestamp":1556228462000},"page":"53731-53742","source":"Crossref","is-referenced-by-count":57,"title":["Spectrum Analysis of EEG Signals Using CNN to Model Patient\u2019s Consciousness Level Based on Anesthesiologists\u2019 Experience"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4956-5737","authenticated-orcid":false,"given":"Quan","family":"Liu","sequence":"first","affiliation":[]},{"given":"Jifa","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Shou-Zen","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Maysam F.","family":"Abbod","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6407-5090","authenticated-orcid":false,"given":"Jiann-Shing","family":"Shieh","sequence":"additional","affiliation":[]},{"given":"Yuchen","family":"Kung","sequence":"additional","affiliation":[]},{"given":"Longsong","family":"Lin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/AIPR.2017.8457969"},{"key":"ref38","author":"hasanpour","year":"2016","journal-title":"Lets keep it simple using simple architectures to outperform deeper and more complex architectures"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6287970"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2008.4650387"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2007.03.007"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa0707361"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3225209.3225214"},{"key":"ref36","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpvp.2004.06.009"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.4097\/kjae.2011.61.6.460"},{"key":"ref10","article-title":"Development of a portable and easy-to-use EEG system to be employed in emergency situations","author":"jakab","year":"2011"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1097\/00000542-200010000-00018"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2013.00002"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-007-9083-y"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-015-0197-3"},{"key":"ref14","article-title":"Method for consciousness and pain monitoring, module for analyzing EEG signals, and EEG anesthesia monitor","author":"jordan","year":"2014"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref16","author":"tsinalis","year":"2016","journal-title":"Automatic sleep stage scoring with single-channel EEG using convolutional neural networks"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2017.2721116"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065703001790"},{"key":"ref19","first-page":"13","article-title":"Patients’ EEG data analysis via spectrogram image with a convolution neural network","author":"yuan","year":"2017","journal-title":"Proc Int Conf Intell Decision Technol"},{"key":"ref28","author":"truong","year":"2017","journal-title":"A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/10.966601"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1023\/A:1016393904439"},{"key":"ref3","first-page":"33","article-title":"Monitoring the depth of anaesthesia: Why, how and at which cost?","volume":"62","author":"bonhomme","year":"2007","journal-title":"Rev Med Liege"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2015.00016"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1213\/01.ANE.0000149022.48021.24"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/bja\/88.5.644"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/bja\/82.5.672"},{"key":"ref7","article-title":"EEG monitor of fetal health","author":"richardson","year":"2015"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1097\/00000542-200502000-00030"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1159\/000243390"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra021261"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/14\/1\/016003"},{"key":"ref45","author":"devarakonda","year":"2017","journal-title":"AdaBatch Adaptive batch sizes for training deep neural networks"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s13246-014-0285-6"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/232381"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.879766"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/e15093325"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1186\/1687-6180-2014-183"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/38\/2\/116"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1062"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3107411.3107419"},{"key":"ref43","first-page":"1135","article-title":"Convolutional neural network committees for handwritten character classification","author":"dan","year":"2011","journal-title":"Proc Int Conf Document Anal Recognit"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogsys.2010.12.012"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08695791.pdf?arnumber=8695791","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:40:19Z","timestamp":1628624419000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8695791\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2912273","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}