{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T12:36:26Z","timestamp":1789994186757,"version":"4.0.1"},"reference-count":39,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2016,12,1]],"date-time":"2016-12-01T00:00:00Z","timestamp":1480550400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100004874","name":"Chung-Shan Institute of Science and Technology","doi-asserted-by":"publisher","award":["CSIST-095-V203"],"award-info":[{"award-number":["CSIST-095-V203"]}],"id":[{"id":"10.13039\/501100004874","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001868","name":"National Science Council","doi-asserted-by":"publisher","award":["NSC 102-2221-E-008-110"],"award-info":[{"award-number":["NSC 102-2221-E-008-110"]}],"id":[{"id":"10.13039\/501100001868","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.jp","clinicalkey.com","clinicalkey.es","clinicalkey.fr","clinicalkey.com.au","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Methods and Programs in Biomedicine"],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1016\/j.cmpb.2016.08.024","type":"journal-article","created":{"date-parts":[[2016,9,14]],"date-time":"2016-09-14T16:52:14Z","timestamp":1473871934000},"page":"77-85","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":30,"special_numbering":"C","title":["Comparison of FFT and marginal spectra of EEG using empirical mode decomposition to monitor anesthesia"],"prefix":"10.1016","volume":"137","author":[{"given":"Shih-Jui","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chia-Ju","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi-Chun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yean-Ren","family":"Hwang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying-Sian","family":"Lai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shou-Zen","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kuo-Kuang","family":"Jen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.cmpb.2016.08.024_bib0010","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1093\/bja\/59.11.1341","article-title":"Anaesthesia: a practical or impractical construct?","volume":"59","author":"Prys-Roberts","year":"1987","journal-title":"Br. J. Anaesth"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0015","series-title":"Miller's Anesthesia","author":"Miller","year":"2014"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0020","first-page":"182","article-title":"Anesthesia\u2014a review","volume":"7","author":"Satwik","year":"2015","journal-title":"J. Pharm. Sci. Res"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0025","series-title":"Clinical Anesthesia","author":"Barash","year":"2009"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0030","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1213\/01.ANE.0000130261.90896.6C","article-title":"The incidence of awareness during anesthesia: a multicenter United States study","volume":"99","author":"Sebel","year":"2004","journal-title":"Anesth. Analg"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0035","doi-asserted-by":"crossref","first-page":"1757","DOI":"10.1016\/S0140-6736(04)16300-9","article-title":"Bispectral index monitoring to prevent awareness during anaesthesia: the B-Aware randomised controlled trial","volume":"363","author":"Myles","year":"2004","journal-title":"Lancet"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0040","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/S0163-8343(01)00142-6","article-title":"Awareness under anesthesia and the development of posttraumatic stress disorder","volume":"23","author":"Osterman","year":"2001","journal-title":"Gen. Hosp. Psychiatry"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0045","doi-asserted-by":"crossref","first-page":"922","DOI":"10.1007\/BF03010093","article-title":"Recall of intraoperative events after general-anesthesia and cardiopulmonary bypass","volume":"40","author":"Phillips","year":"1993","journal-title":"Can. J. Anaesth"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0050","doi-asserted-by":"crossref","first-page":"978","DOI":"10.3390\/e14060978","article-title":"Adaptive computation of multiscale entropy and its application in EEG signals for monitoring depth of anesthesia during surgery","volume":"14","author":"Liu","year":"2012","journal-title":"Entropy"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0055","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1093\/bja\/82.5.672","article-title":"Comparison of bispectral EEG analysis and auditory evoked potentials for monitoring depth of anaesthesia during propofol anaesthesia","volume":"82","author":"Gajraj","year":"1999","journal-title":"Br. J. Anaesth"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0060","doi-asserted-by":"crossref","first-page":"980","DOI":"10.1097\/00000542-199810000-00023","article-title":"A primer for EEG signal processing in anesthesia","volume":"89","author":"Rampil","year":"1998","journal-title":"Anesthesiology"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0065","doi-asserted-by":"crossref","first-page":"628","DOI":"10.1111\/j.1399-6576.1998.tb05293.x","article-title":"Comparison of spontaneous frontal EMG, EEG power spectrum and bispectral index to monitor propofol drug effect and emergence","volume":"42","author":"Struys","year":"1998","journal-title":"Acta Anaesthesiol. Scand"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0070","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1093\/bja\/ael120","article-title":"Depth of anaesthesia monitoring: what's available, what's validated and what's next?","volume":"97","author":"Bruhn","year":"2006","journal-title":"Br. J. Anaesth"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0075","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1097\/00000542-200604000-00031","article-title":"Practice advisory for intraoperative awareness and brain function monitoring\u2014a report by the American Society of Anesthesiologists task force on intraoperative awareness","volume":"104","author":"A. American Society of Anesthesiologists Task Force on Intraoperative","year":"2006","journal-title":"Anesthesiology"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0080","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1258\/la.2007.006025","article-title":"EEG power spectrum analysis for monitoring depth of anaesthesia during experimental surgery","volume":"42","author":"Otto","year":"2008","journal-title":"Lab. Anim"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0085","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/S0034-7094(12)70109-5","article-title":"Bispectral index and other processed parameters of electroencephalogram: an update","volume":"62","author":"Nunes","year":"2012","journal-title":"Rev. Bras. Anestesiol"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0090","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1007\/BF01618421","article-title":"An introduction to bispectral analysis for the electroencephalogram","volume":"10","author":"Sigl","year":"1994","journal-title":"J. Clin. Monit"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0095","doi-asserted-by":"crossref","first-page":"808","DOI":"10.1097\/00000542-199710000-00014","article-title":"Bispectral index monitoring allows faster emergence and improved recovery from propofol, alfentanil, and nitrous oxide anesthesia","volume":"87","author":"Gan","year":"1997","journal-title":"Anesthesiology"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0100","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1590\/S0034-70942009000100013","article-title":"When the bispectral index (BIS) can give false results","volume":"59","author":"Duarte","year":"2009","journal-title":"Rev. Bras. Anestesiol"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0105","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1213\/ANE.0b013e31823ee030","article-title":"Brain monitoring with electroencephalography and the electroencephalogram-derived bispectral index during cardiac surgery","volume":"114","author":"Kertai","year":"2012","journal-title":"Anesth. Analg"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0110","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1177\/0954411911434246","article-title":"Hilbert-Huang transformation-based time-frequency analysis methods in biomedical signal applications","volume":"226","author":"Lin","year":"2012","journal-title":"Proc. Inst. Mech. Eng. H"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0115","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1109\/TNSRE.2011.2116805","article-title":"Time-frequency analysis of EEG asymmetry using bivariate empirical mode decomposition","volume":"19","author":"Park","year":"2011","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0120","doi-asserted-by":"crossref","first-page":"2465","DOI":"10.1016\/j.clinph.2008.08.006","article-title":"Analysis of depth of anesthesia with Hilbert-Huang spectral entropy","volume":"119","author":"Li","year":"2008","journal-title":"Clin. Neurophysiol"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0125","doi-asserted-by":"crossref","DOI":"10.3389\/fncom.2015.00016","article-title":"EEG entropy measures in anesthesia","volume":"9","author":"Liang","year":"2015","journal-title":"Front. Comput. Neurosci"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0130","doi-asserted-by":"crossref","first-page":"3458","DOI":"10.3390\/e15093458","article-title":"Analysis of EEG via multivariate empirical mode decomposition for depth of anesthesia based on sample entropy","volume":"15","author":"Wei","year":"2013","journal-title":"Entropy"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0135","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1016\/j.bspc.2013.08.004","article-title":"EMD-based EEG signal enhancement for auditory evoked potential recovery under high stimulus-rate paradigm","volume":"8","author":"Wang","year":"2013","journal-title":"Biomed. Signal Process. Control"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0140","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1007\/s11571-011-9159-8","article-title":"Intrinsic mode entropy based on multivariate empirical mode decomposition and its application to neural data analysis","volume":"5","author":"Hu","year":"2011","journal-title":"Cogn. Neurodyn"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0145","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1088\/0967-3334\/33\/2\/271","article-title":"Using the Hilbert-Huang transform to measure the electroencephalographic effect of propofol","volume":"33","author":"Shalbaf","year":"2012","journal-title":"Physiol. Meas"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0150","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1016\/S0889-8537(01)80018-3","article-title":"Bispectral index monitoring","volume":"19","author":"Rosow","year":"2001","journal-title":"Anesthesiol. Clin. North America"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0155","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1098\/rspa.1998.0193","article-title":"The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis","volume":"454","author":"Huang","year":"1998","journal-title":"Proc. R. Soc. Lond. A Math. Phys. Sci"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0160","series-title":"Hilbert-Huang Spectrum as a New Field for the Identification of EEG Event Related De-\/Synchronization for BCI Applications","author":"Panoulas","year":"2008"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0165","first-page":"70","article-title":"The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms","author":"Welch","year":"1967","journal-title":"IEEE Trans. Acoust"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0170","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1109\/5.135376","article-title":"Estimating and interpreting the instantaneous frequency of a signal-Part I: fundamentals","volume":"80","author":"Boashash","year":"1992","journal-title":"P. IEEE"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0175","doi-asserted-by":"crossref","first-page":"552","DOI":"10.1109\/78.558469","article-title":"On instantaneous amplitude and phase of signals","volume":"45","author":"Picinbono","year":"1997","journal-title":"IEEE Trans. Signal Process"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0180","series-title":"Digital Signal Processing: Mathematical and Computational Methods, Software Development and Applications","author":"Blackledge","year":"2006"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0185","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1109\/PROC.1963.2308","article-title":"A product theorem for Hilbert transforms","volume":"51","author":"Bedrosian","year":"1963","journal-title":"P. IEEE"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0190","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1029\/2007RG000228","article-title":"A review on Hilbert-Huang transform: method and its applications to geophysical studies","volume":"46","author":"Huang","year":"2008","journal-title":"Rev. Geophys"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0195","series-title":"Foundations of Image Science","author":"Barrett","year":"2013"},{"key":"10.1016\/j.cmpb.2016.08.024_bib0200","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.cmpb.2011.03.009","article-title":"Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition","volume":"104","author":"Pachori","year":"2011","journal-title":"Comput. Methods Programs Biomed"}],"container-title":["Computer Methods and Programs in Biomedicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260716302905?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260716302905?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,11,2]],"date-time":"2019-11-02T04:27:18Z","timestamp":1572668838000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0169260716302905"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":39,"alternative-id":["S0169260716302905"],"URL":"https:\/\/doi.org\/10.1016\/j.cmpb.2016.08.024","relation":{},"ISSN":["0169-2607"],"issn-type":[{"value":"0169-2607","type":"print"}],"subject":[],"published":{"date-parts":[[2016,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Comparison of FFT and marginal spectra of EEG using empirical mode decomposition to monitor anesthesia","name":"articletitle","label":"Article Title"},{"value":"Computer Methods and Programs in Biomedicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cmpb.2016.08.024","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2016 Elsevier Ireland Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}