{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T16:34:22Z","timestamp":1774974862177,"version":"3.50.1"},"reference-count":54,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2020,7,5]],"date-time":"2020-07-05T00:00:00Z","timestamp":1593907200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["MCIU\/AEI\/FEDER, UE RTI2018-094449-A-I00-AR"],"award-info":[{"award-number":["MCIU\/AEI\/FEDER, UE RTI2018-094449-A-I00-AR"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003359","name":"Generalitat Valenciana","doi-asserted-by":"publisher","award":["AICO\/2019\/220"],"award-info":[{"award-number":["AICO\/2019\/220"]}],"id":[{"id":"10.13039\/501100003359","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003359","name":"Generalitat Valenciana","doi-asserted-by":"publisher","award":["GV\/2018\/104"],"award-info":[{"award-number":["GV\/2018\/104"]}],"id":[{"id":"10.13039\/501100003359","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>Electrohysterography (EHG) has been shown to provide relevant information on uterine activity and could be used for predicting preterm labor and identifying other maternal fetal risks. The extraction of high-quality robust features is a key factor in achieving satisfactory prediction systems from EHG. Temporal, spectral, and non-linear EHG parameters have been computed to characterize EHG signals, sometimes obtaining controversial results, especially for non-linear parameters. The goal of this work was to assess the performance of EHG parameters in identifying those robust enough for uterine electrophysiological characterization. EHG signals were picked up in different obstetric scenarios: antepartum, including women who delivered on term, labor, and post-partum. The results revealed that the 10th and 90th percentiles, for parameters with falling and rising trends as labor approaches, respectively, differentiate between these obstetric scenarios better than median analysis window values. Root-mean-square amplitude, spectral decile 3, and spectral moment ratio showed consistent tendencies for the different obstetric scenarios as well as non-linear parameters: Lempel\u2013Ziv, sample entropy, spectral entropy, and SD1\/SD2 when computed in the fast wave high bandwidth. These findings would make it possible to extract high quality and robust EHG features to improve computer-aided assessment tools for pregnancy, labor, and postpartum progress and identify maternal fetal risks.<\/jats:p>","DOI":"10.3390\/e22070743","type":"journal-article","created":{"date-parts":[[2020,7,6]],"date-time":"2020-07-06T03:19:27Z","timestamp":1594005567000},"page":"743","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios"],"prefix":"10.3390","volume":"22","author":[{"given":"Javier","family":"Mas-Cabo","sequence":"first","affiliation":[{"name":"Centro de Investigaci\u00f3n e Innovaci\u00f3n en Bioingenier\u00eda, Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiyao","family":"Ye-Lin","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n e Innovaci\u00f3n en Bioingenier\u00eda, Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1410-2721","authenticated-orcid":false,"given":"Javier","family":"Garcia-Casado","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n e Innovaci\u00f3n en Bioingenier\u00eda, Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4605-6048","authenticated-orcid":false,"given":"Alba","family":"D\u00edaz-Martinez","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n e Innovaci\u00f3n en Bioingenier\u00eda, Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alfredo","family":"Perales-Marin","sequence":"additional","affiliation":[{"name":"Servicio de Obstetricia, H.U. P. La Fe, 46026 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rogelio","family":"Monfort-Ortiz","sequence":"additional","affiliation":[{"name":"Servicio de Obstetricia, H.U. P. La Fe, 46026 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alba","family":"Roca-Prats","sequence":"additional","affiliation":[{"name":"Servicio de Obstetricia, H.U. P. La Fe, 46026 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00c1ngel","family":"L\u00f3pez-Corral","sequence":"additional","affiliation":[{"name":"Servicio de Obstetricia, H.U. P. 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Health"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.semcdb.2007.05.004","article-title":"Physiology and electrical activity of uterine contractions","volume":"18","author":"Garfield","year":"2007","journal-title":"Semin. Dev. Biol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/bmb\/ldg015","article-title":"Global burden of maternal death and disability","volume":"67","author":"AbouZahr","year":"2003","journal-title":"Br. Med. Bull."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"159","DOI":"10.4321\/S1137-66272009000200014","article-title":"Postpartum haemorrhage","volume":"32","author":"Karlsson","year":"2009","journal-title":"An. Sist. Sanit. Navar."},{"key":"ref_7","unstructured":"Turmen, T. (1996). Safe motherhood: A global problem. Report from a symposium on the prevention and management of anaemia in pregnancy and postpartum hemorrhage. World Health Organ., 1\u201313."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1367","DOI":"10.3109\/14767058.2014.954539","article-title":"A comparison between electrical uterine monitor, tocodynamometer and intra uterine pressure catheter for uterine activity in labor","volume":"28","author":"Hadar","year":"2015","journal-title":"J. Matern. Neonatal Med."},{"key":"ref_9","first-page":"1872","article-title":"Spectral characterization of human EHG frequency components based on the extraction and reconstruction of the ridges in the scalogram","volume":"2007","author":"Terrien","year":"2007","journal-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1080\/14767050410001695301","article-title":"Non-invasive transabdominal uterine electromyography correlates with the strength of intrauterine pressure and is predictive of labor and delivery","volume":"15","author":"Maul","year":"2004","journal-title":"J. Matern. Fetal Neonatal Med."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.compbiomed.2009.11.019","article-title":"Uterine electromyogram database and processing function interface: An open standard analysis platform for electrohysterogram signals","volume":"40","author":"Terrien","year":"2010","journal-title":"Comput. Biol. Med."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"S33","DOI":"10.1016\/j.ejogrb.2009.02.016","article-title":"Monitoring the progress of pregnancy and labor using electromyography","volume":"144","author":"Schlembach","year":"2009","journal-title":"Eur. J. Obstet. Gynecol. Reprod. Biol."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Alberola-Rubio, J., Prats-Boluda, G., Ye-Lin, Y., Valero, J., Perales, A., and Garcia-Casado, J. (2013). Comparison of non-invasive electrohysterographic recording techniques for monitoring uterine dynamics. Med. Eng. Phys., 35.","DOI":"10.1016\/j.medengphy.2013.07.008"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"66.e1","DOI":"10.1016\/j.ajog.2012.10.873","article-title":"Monitoring uterine activity during labor: A comparison of 3 methods","volume":"208","author":"Euliano","year":"2013","journal-title":"Am. J. Obstet. Gynecol."},{"key":"ref_15","unstructured":"Parra, C.B., Tendero, A.I., Ye-Lin, Y., Alberola-Rubio, J., Perales Marin, A., Garcia-Casado, J., Prats-Boluda, G., Benalcazar Parra, C., Tendero, A.I., and Ye-Lin, Y. (2018, January 19\u201321). Feasibility of Labor Induction Success Prediction based on Uterine Myoelectric Activity Spectral Analysis. Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Funchal, Madeira, Portugal."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1636","DOI":"10.1016\/0002-9378(93)90456-S","article-title":"Uterine electromyography: A critical review","volume":"169","author":"Devedeux","year":"1993","journal-title":"Am. J. Obstet. Gynecol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.biomed.2013.04.007","article-title":"Patterns of electrical activity synchronization in the pregnant rat uterus","volume":"3","author":"Chkeir","year":"2013","journal-title":"BioMedicine"},{"key":"ref_18","unstructured":"Mas-Cabo, J., Prats-Boluda, G., Garc\u00eda-Casado, J., Perales Marin, A., Alberola-Rubio, J., L\u00f3pez Corral, A., Ye-Lin, Y., Mas-Cabo, G.J., Prats-Boluda, J., and Garc\u00eda-Casado, A. (2019, January 27\u201329). Caracterizaci\u00f3n de la actividad el\u00e9ctrica uterina durante la gestaci\u00f3n, el parto y el postparto. Proceedings of the Actas del XXXVII Congreso Anual de la Sociedad Espa\u00f1ola de Ingenier\u00eda Biom\u00e9dica, Santander, Spain."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1007\/s11517-008-0350-y","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":"Jager","year":"2008","journal-title":"Med. Biol. Eng. Comput."},{"key":"ref_20","first-page":"97","article-title":"Recognition of premature threatening labour symptoms from bioelectrical uterine activity signals","volume":"17","author":"Sikora","year":"2011","journal-title":"Arch. Perinat. Med."},{"key":"ref_21","first-page":"401","article-title":"Uterine electromyography for discrimination of labor imminence in women with threatened preterm labor under tocolytic treatment","volume":"57","author":"Perales","year":"2018","journal-title":"Med. Biol. Eng. Comput."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1097\/OGX.0b013e3181a8c6b1","article-title":"Accuracy of frequency-related parameters of the electrohysterogram for predicting preterm delivery: A review of the literature","volume":"64","author":"Vinken","year":"2009","journal-title":"Obs. Gynecol. Surv."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"980","DOI":"10.1016\/j.medengphy.2011.03.010","article-title":"Comparison between approximate entropy, correntropy and time reversibility: Application to uterine electromyogram signals","volume":"33","author":"Hassan","year":"2011","journal-title":"Med. Eng. Phys."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.bbe.2015.11.005","article-title":"Early diagnosis of threatened premature labor by electrohysterographic recordings - The use of digital signal processing","volume":"36","author":"Lemancewicz","year":"2016","journal-title":"Biocybern. Biomed. Eng."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"02TR01","DOI":"10.1088\/1361-6579\/aaad56","article-title":"Electrohysterography in the diagnosis of preterm birth: A review","volume":"39","author":"Perales","year":"2018","journal-title":"Physiol. Meas."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/j.ajog.2008.08.003","article-title":"Can myometrial electrical activity identify patients in preterm labor?","volume":"199","author":"Most","year":"2008","journal-title":"Am. J. Obstet. Gynecol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/S0301-2115(00)00418-8","article-title":"Uterine electrical activity as predictor of preterm birth in women with preterm contractions","volume":"95","author":"Verdenik","year":"2001","journal-title":"Eur. J. Obstet. Gynecol. Reprod. Biol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1016\/j.bbe.2016.06.004","article-title":"Early predicting a risk of preterm labour by analysis of antepartum electrohysterographic signals","volume":"36","author":"Horoba","year":"2016","journal-title":"Biocybern. Biomed. Eng."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"228.e1","DOI":"10.1016\/j.ajog.2010.09.024","article-title":"Noninvasive uterine electromyography for prediction of preterm delivery","volume":"204","author":"Lucovnik","year":"2011","journal-title":"Am. J. Obstet. Gynecol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1088\/0967-3334\/36\/2\/341","article-title":"Separating sets of term and pre-term uterine EMG records","volume":"36","author":"Smrdel","year":"2015","journal-title":"Physiol. Meas."},{"key":"ref_31","first-page":"1254","article-title":"Predicting term and preterm delivery with transabdominal uterine electromyography","volume":"101","author":"Maner","year":"2003","journal-title":"Obstet. Gynecol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1222","DOI":"10.1109\/10.790499","article-title":"Use of the electrohysterogram signal for characterization of contractions during pregnancy","volume":"46","author":"Marque","year":"1999","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Vrhovec, J., Macek Lebar, A., and Lebar, A.M. (2012). An Uterine Electromyographic Activity as a Measure of Labor Progression. Applications of EMG in Clinical and Sports Medicine, InTech.","DOI":"10.5772\/25526"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1109\/TBME.2017.2723933","article-title":"Dedicated Entropy Measures for Early Assessment of Pregnancy Progression From Single-Channel Electrohysterography","volume":"65","author":"Mischi","year":"2018","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_35","unstructured":"Ball, J.W., Dains, J.E., Flynn, J.A., Solomon, B.S., and Stewart, R.W. (2015). Seidel\u2019s Guide to Physical Examination, Elsevier. [8th ed.]."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.ajog.2005.01.050","article-title":"Comparing uterine electromyography activity of antepartum patients versus term labor patients","volume":"193","author":"Garfield","year":"2005","journal-title":"Am. J. Obstet. Gynecol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1007\/s10439-006-9248-8","article-title":"Identification of human term and preterm labor using artificial neural networks on uterine electromyography data","volume":"35","author":"Maner","year":"2007","journal-title":"Ann. Biomed. Eng."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Dimitrov, G.V., Arabadzhiev, T.I., Mileva, K.N., Bowtell, J.L., Crichton, N., and Dimitrova, N.A. (2006). Muscle fatigue during dynamic contractions assessed by new spectral indices. Med. Sci. Sports Exerc.","DOI":"10.1249\/01.mss.0000233794.31659.6d"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1080\/jmf.14.1.8.21","article-title":"Analysis of uterine contractions: A dynamical approach","volume":"14","author":"Murphy","year":"2003","journal-title":"J. Matern. Fetal Neonatal Med."},{"key":"ref_40","first-page":"23","article-title":"On the complexity of finite valued functions","volume":"I","author":"Lempel","year":"1976","journal-title":"IEEE Trans. Inf. Technol."},{"key":"ref_41","first-page":"144","article-title":"Evaluating Uterine Electrohysterogram with Entropy","volume":"Volume 16","author":"Vrhovec","year":"2007","journal-title":"Proceedings of the 11th Mediterranean Conference on Medical and Biomedical Engineering and Computing"},{"key":"ref_42","first-page":"1045","article-title":"Quantitative performance analysis of four methods of evaluating signal nonlinearity: Application to uterine EMG signals","volume":"2012","author":"Diab","year":"2012","journal-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1424","DOI":"10.1109\/10.966601","article-title":"EEG complexity as a measure of depth of anesthesia for patients","volume":"48","author":"Zhang","year":"2001","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Roy, B., and Ghatak, S. (2013). Nonlinear Methods to Assess Changes in Heart Rate Variability in Type 2 Diabetic Patients. Arq. Bras. Cardiol.","DOI":"10.5935\/abc.20130181"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Andreu-Perez, J., Poon, C.C.Y., Merrifield, R.D., Wong, S.T.C., and Yang, G.Z. (2015). Big Data for Health. IEEE J. Biomed. Heal. Inform.","DOI":"10.1109\/JBHI.2015.2450362"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.compbiomed.2016.07.003","article-title":"A multichannel time\u2013frequency and multi-wavelet toolbox for uterine electromyography processing and visualisation","volume":"76","author":"Batista","year":"2016","journal-title":"Comput. Biol. Med."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Fergus, P., Cheung, P., Hussain, A., Al-Jumeily, D., Dobbins, C., and Iram, S. (2013). Prediction of preterm deliveries from EHG signals using machine learning. PLoS ONE, 8.","DOI":"10.1371\/journal.pone.0077154"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.compbiomed.2017.04.013","article-title":"Automated detection of premature delivery using empirical mode and wavelet packet decomposition techniques with uterine electromyogram signals","volume":"85","author":"Acharya","year":"2017","journal-title":"Comput. Biol. Med."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Ren, P., Yao, S., Li, J., Valdes-Sosa, P.A., and Kendrick, K.M. (2015). Improved Prediction of Preterm Delivery Using Empirical Mode Decomposition Analysis of Uterine Electromyography Signals. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0132116"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Ahmed, M.U., Chanwimalueang, T., Thayyil, S., and Mandic, D.P. (2017). A multi variate multiscale fuzzy entropy algorithm with application to uterine EMG complexity analysis. Entropy, 19.","DOI":"10.3390\/e19010002"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/0002-9378(70)90363-7","article-title":"Uterine contractions in spontaneous labor. A quantitative study","volume":"106","author":"Krapohl","year":"1970","journal-title":"Am. J. Obstet. Gynecol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1111\/j.1471-0528.2005.00596.x","article-title":"Use of uterine EMG and cervical LIF in monitoring pregnant patients","volume":"112","author":"Garfield","year":"2005","journal-title":"Int. J. Obstet. Gynaecol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"56.e1","DOI":"10.1016\/j.ajog.2010.08.023","article-title":"Oxytocin exposure during labor among women with postpartum hemorrhage secondary to uterine atony","volume":"204","author":"Grotegut","year":"2011","journal-title":"Am. J. Obstet. Gynecol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"761","DOI":"10.1016\/j.medengphy.2014.01.009","article-title":"Performance analysis of four nonlinearity analysis methods using a model with variable complexity and application to uterine EMG signals","volume":"36","author":"Diab","year":"2014","journal-title":"Med. Eng. Phys."}],"container-title":["Entropy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1099-4300\/22\/7\/743\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:47:44Z","timestamp":1760176064000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1099-4300\/22\/7\/743"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,5]]},"references-count":54,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2020,7]]}},"alternative-id":["e22070743"],"URL":"https:\/\/doi.org\/10.3390\/e22070743","relation":{},"ISSN":["1099-4300"],"issn-type":[{"value":"1099-4300","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,5]]}}}