{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T22:57:10Z","timestamp":1790636230066,"version":"4.1.0"},"reference-count":27,"publisher":"IOP Publishing","issue":"6","license":[{"start":{"date-parts":[[2014,3,1]],"date-time":"2014-03-01T00:00:00Z","timestamp":1393632000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2014,3,1]],"date-time":"2014-03-01T00:00:00Z","timestamp":1393632000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Med. Eng. Phys."],"published-print":{"date-parts":[[2014,6,1]]},"DOI":"10.1016\/j.medengphy.2014.01.009","type":"journal-article","created":{"date-parts":[[2014,3,1]],"date-time":"2014-03-01T17:45:27Z","timestamp":1393695927000},"page":"761-767","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":40,"title":["Performance analysis of four nonlinearity analysis methods using a model with variable complexity and application to uterine EMG signals"],"prefix":"10.1088","volume":"36","author":[{"given":"Ahmad","family":"Diab","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mahmoud","family":"Hassan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Catherine","family":"Marque","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brynjar","family":"Karlsson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2014,3,1]]},"reference":[{"key":"bib0005","first-page":"1825","type":"other","article-title":"Random data analysis and measurement procedures","volume":"11","author":"Bendat","year":"2000"},{"key":"bib0010","first-page":"2387","author":"Hassan","year":"2010","type":"other"},{"key":"bib0015","first-page":"173","type":"other","article-title":"Antipsychotics reverse abnormal EEG complexity in drug-naive schizophrenia: a multiscale entropy analysis","volume":"51","author":"Takahashi","year":"2010"},{"key":"bib0020","first-page":"51","type":"other","article-title":"Nonlinear dynamics of cardiovascular ageing","volume":"488","author":"Shiogai","year":"2010"},{"key":"bib0025","first-page":"40","type":"other","article-title":"Prediction of paroxysmal atrial fibrillation based on non-linear analysis and spectrum and bispectrum features of the heart rate variability signal","volume":"105","author":"Mohebbi","year":"2012"},{"key":"bib0030","first-page":"1715","type":"other","article-title":"Cross-fuzzy entropy: a new method to test pattern synchrony of bivariate time series","volume":"180","author":"Xie","year":"2010"},{"key":"bib0035","first-page":"150","type":"other","article-title":"Use of uterine electromyography to diagnose term and preterm labor","volume":"90","author":"Lucovnik","year":"2011"},{"key":"bib0040","first-page":"23","type":"other","article-title":"Comparing uterine electromyography activity of antepartum patients versus term labor patients","volume":"193","author":"Garfield","year":"2005"},{"key":"bib0045","first-page":"S33","type":"other","article-title":"Monitoring the progress of pregnancy and labor using electromyography","volume":"144","author":"Schlembach","year":"2009"},{"key":"bib0050","first-page":"1160","type":"other","article-title":"Better pregnancy monitoring using nonlinear propagation analysis of external uterine electromyography","volume":"60","author":"Hassan","year":"2013"},{"key":"bib0055","first-page":"326","type":"other","article-title":"Effect of decimation on the classification rate of nonlinear analysis methods applied to uterine EMG signals","volume":"34","author":"Diab","year":"2013"},{"key":"bib0060","first-page":"325","type":"other","article-title":"Assessment of uterine contractile activity during a pregnancy based on a nonlinear analysis of the uterine electromyographic signal","volume":"90","author":"Radomski","year":"2008"},{"key":"bib0065","first-page":"911","type":"other","article-title":"A comparison of various linear and non-linear signal processing techniques to separate uterine EMG records of term and pre-term delivery groups","volume":"46","author":"Fele-Zorz","year":"2008"},{"key":"bib0070","first-page":"165","type":"other","article-title":"Evaluating the progress of the labour with sample entropy calculated from the uterine EMG activity","volume":"76","author":"Vrhovec","year":"2009"},{"key":"bib0075","author":"Diab","year":"2012","type":"other"},{"key":"bib0080","first-page":"980","type":"other","article-title":"Comparison between approximate entropy, correntropy and time reversibility: application to uterine EMG signals","volume":"33","author":"Hassan","year":"2011"},{"key":"bib0085","first-page":"221","type":"other","article-title":"Reversibility as a criterion for discriminating time series","volume":"201","author":"Diks","year":"1995"},{"key":"bib0090","first-page":"H2039","type":"other","article-title":"Physiological time-series analysis using approximate entropy and sample entropy","volume":"278","author":"Richman","year":"2000"},{"key":"bib0095","first-page":"167","type":"other","article-title":"The delay vector variance method for detecting determinism and nonlinearity in time series","volume":"190","author":"Gautama","year":"2004"},{"key":"bib0100","first-page":"285","type":"other","article-title":"Determining Lyapunov exponents from a time series","volume":"16","author":"Wolf","year":"1985"},{"key":"bib0105","first-page":"2297","type":"other","article-title":"Approximate entropy as a measure of system-complexity","volume":"88","author":"Pincus","year":"1991"},{"key":"bib0110","first-page":"2570","type":"other","article-title":"Multistability annihilation in the H\u00e9non map through parameters modulation","volume":"17","author":"Casas","year":"2012"},{"key":"bib0115","first-page":"139","author":"Karlsson","year":"2007","type":"other"},{"key":"bib0120","first-page":"346","type":"other","article-title":"Surrogate time series","volume":"142","author":"Schreiber","year":"2000"},{"key":"bib0125","first-page":"40","type":"other","article-title":"The effect of aging on nonlinearity and stochastic nature of heart rate variability signal computed using delay vector variance method","volume":"14","author":"Kuntamalla","year":"2011"},{"key":"bib0130","first-page":"3015","type":"other","article-title":"Surrogate data test for nonlinearity of the rat cerebellar electrocorticogram in the model of brain injury","volume":"90","author":"Sla\u0111ana","year":"2010"},{"key":"bib0135","first-page":"4642","author":"Hassan","year":"2010","type":"other"}],"container-title":["Medical Engineering &amp; Physics"],"original-title":[],"link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350453314000216?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350453314000216?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2014.01.009","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2014.01.009\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2014.01.009\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2014.01.009\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T14:43:47Z","timestamp":1769093027000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2014.01.009"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,3,1]]},"references-count":27,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2014,3,1]]},"published-print":{"date-parts":[[2014,6,1]]}},"URL":"https:\/\/doi.org\/10.1016\/j.medengphy.2014.01.009","relation":{},"ISSN":["1350-4533","1873-4030"],"issn-type":[{"value":"1350-4533","type":"print"},{"value":"1873-4030","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,3,1]]},"assertion":[{"value":"Performance analysis of four nonlinearity analysis methods using a model with variable complexity and application to uterine EMG signals","name":"article_title","label":"Article Title"},{"value":"Medical Engineering & Physics","name":"journal_title","label":"Journal Title"},{"value":"paper","name":"article_type","label":"Article Type"},{"value":"\u00a9 2014 Institute of Physics and Engineering in Medicine. All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2012-11-29","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2014-01-27","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2014-03-01","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}