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A Comparative Study of Vaginal Labor and Caesarean Section Postpartum Uterine Myoelectrical Activity

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A Comparative Study of Vaginal Labor and Caesarean Section Postpartum Uterine Myoelectrical Activity

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dc.contributor.author Díaz-Martínez, María del Alba es_ES
dc.contributor.author Mas-Cabo, Javier es_ES
dc.contributor.author Prats-Boluda, Gema es_ES
dc.contributor.author Garcia-Casado, Javier es_ES
dc.contributor.author Cardona-Urrego, Karen es_ES
dc.contributor.author Monfort-Ortiz, Rogelio es_ES
dc.contributor.author Lopez-Corral, Angel es_ES
dc.contributor.author De Arriba-Garcia, Maria es_ES
dc.contributor.author Perales, Alfredo es_ES
dc.contributor.author Ye Lin, Yiyao es_ES
dc.date.accessioned 2021-03-01T08:10:32Z
dc.date.available 2021-03-01T08:10:32Z
dc.date.issued 2020-06 es_ES
dc.identifier.uri http://hdl.handle.net/10251/162610
dc.description.abstract [EN] Postpartum hemorrhage (PPH) is one of the major causes of maternal mortality and morbidity worldwide, with uterine atony being the most common origin. Currently there are no obstetrical techniques available for monitoring postpartum uterine dynamics, as tocodynamometry is not able to detect weak uterine contractions. In this study, we explored the feasibility of monitoring postpartum uterine activity by non-invasive electrohysterography (EHG), which has been proven to outperform tocodynamometry in detecting uterine contractions during pregnancy. A comparison was made of the temporal, spectral, and non-linear parameters of postpartum EHG characteristics of vaginal deliveries and elective cesareans. In the vaginal delivery group, EHG obtained a significantly higher amplitude and lower kurtosis of the Hilbert envelope, and spectral content was shifted toward higher frequencies than in the cesarean group. In the non-linear parameters, higher values were found for the fractal dimension and lower values for Lempel-Ziv, sample entropy and spectral entropy in vaginal deliveries suggesting that the postpartum EHG signal is extremely non-linear but more regular and predictable than in a cesarean. The results obtained indicate that postpartum EHG recording could be a helpful tool for earlier detection of uterine atony and contribute to better management of prophylactic uterotonic treatment for PPH prevention. es_ES
dc.description.sponsorship This work was supported by the Spanish Ministry of Economy and Competitiveness, the European Regional Development Fund (MCIU/AEI/FEDER, UE RTI2018-094449-A-I00-AR) and the Generalitat Valenciana (GV/2018/104 and AICO/2019/220). es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Electrohysterogram es_ES
dc.subject Uterine myoelectrical activity es_ES
dc.subject Postpartum hemorrhage es_ES
dc.subject Signal characterization es_ES
dc.subject Uterotonic therapy es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title A Comparative Study of Vaginal Labor and Caesarean Section Postpartum Uterine Myoelectrical Activity es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s20113023 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GV%2F2018%2F104/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094449-A-I00/ES/ELECTROHISTEROGRAFIA PARA LA MEJORA EN LA TOMA DE DECISIONES EN SITUACIONES DE RIESGO EN OBSTETRICIA: PARTO PREMATURO E INDUCCION DEL PARTO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//AICO%2F2019%2F220/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Servicio de Alumnado - Servei d'Alumnat es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Díaz-Martínez, MDA.; Mas-Cabo, J.; Prats-Boluda, G.; Garcia-Casado, J.; Cardona-Urrego, K.; Monfort-Ortiz, R.; Lopez-Corral, A.... (2020). A Comparative Study of Vaginal Labor and Caesarean Section Postpartum Uterine Myoelectrical Activity. Sensors. 20(11):1-14. https://doi.org/10.3390/s20113023 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s20113023 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 14 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 11 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 32466584 es_ES
dc.identifier.pmcid PMC7308960 es_ES
dc.relation.pasarela S\414452 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.description.references Ngwenya, S. (2016). Postpartum hemorrhage: incidence, risk factors, and outcomes in a low-resource setting. International Journal of Women’s Health, Volume 8, 647-650. doi:10.2147/ijwh.s119232 es_ES
dc.description.references Carroli, G., Cuesta, C., Abalos, E., & Gulmezoglu, A. M. (2008). Epidemiology of postpartum haemorrhage: a systematic review. Best Practice & Research Clinical Obstetrics & Gynaecology, 22(6), 999-1012. doi:10.1016/j.bpobgyn.2008.08.004 es_ES
dc.description.references Souza, J. P., Gülmezoglu, A. M., Carroli, G., Lumbiganon, P., & Qureshi, Z. (2011). The world health organization multicountry survey on maternal and newborn health: study protocol. BMC Health Services Research, 11(1). doi:10.1186/1472-6963-11-286 es_ES
dc.description.references Knight, M., Callaghan, W. M., Berg, C., Alexander, S., Bouvier-Colle, M.-H., Ford, J. B., … Walker, J. (2009). Trends in postpartum hemorrhage in high resource countries: a review and recommendations from the International Postpartum Hemorrhage Collaborative Group. BMC Pregnancy and Childbirth, 9(1). doi:10.1186/1471-2393-9-55 es_ES
dc.description.references Callaghan, W. M., Kuklina, E. V., & Berg, C. J. (2010). Trends in postpartum hemorrhage: United States, 1994–2006. American Journal of Obstetrics and Gynecology, 202(4), 353.e1-353.e6. doi:10.1016/j.ajog.2010.01.011 es_ES
dc.description.references Marshall, A. L., Durani, U., Bartley, A., Hagen, C. E., Ashrani, A., Rose, C., … Pruthi, R. K. (2017). The impact of postpartum hemorrhage on hospital length of stay and inpatient mortality: a National Inpatient Sample–based analysis. American Journal of Obstetrics and Gynecology, 217(3), 344.e1-344.e6. doi:10.1016/j.ajog.2017.05.004 es_ES
dc.description.references Prick, B. W., Duvekot, J. J., van der Moer, P. E., van Gemund, N., van der Salm, P. C. M., Jansen, A. J. G., … Uyl-de Groot, C. A. (2014). Cost-effectiveness of red blood cell transfusion vs. non-intervention in women with acute anaemia after postpartum haemorrhage. Vox Sanguinis, 107(4), 381-388. doi:10.1111/vox.12181 es_ES
dc.description.references Castiel, D., Bréchat, P.-H., Benoît, B., Nguon, B., Gayat, E., Soyer, P., … Barranger, E. (2008). Coût total des actes chirurgicaux dans la prise en charge des hémorragies de la délivrance. Gynécologie Obstétrique & Fertilité, 36(5), 507-515. doi:10.1016/j.gyobfe.2008.03.009 es_ES
dc.description.references Fukami, T., Koga, H., Goto, M., Ando, M., Matsuoka, S., Tohyama, A., … Tsujioka, H. (2019). Incidence and risk factors for postpartum hemorrhage among transvaginal deliveries at a tertiary perinatal medical facility in Japan. PLOS ONE, 14(1), e0208873. doi:10.1371/journal.pone.0208873 es_ES
dc.description.references Vogel, J. P., Williams, M., Gallos, I., Althabe, F., & Oladapo, O. T. (2019). WHO recommendations on uterotonics for postpartum haemorrhage prevention: what works, and which one? BMJ Global Health, 4(2), e001466. doi:10.1136/bmjgh-2019-001466 es_ES
dc.description.references Lutomski, J., Byrne, B., Devane, D., & Greene, R. (2012). Increasing trends in atonic postpartum haemorrhage in Ireland: an 11-year population-based cohort study. BJOG: An International Journal of Obstetrics & Gynaecology, 119(9), 1150-1151. doi:10.1111/j.1471-0528.2012.03370.x es_ES
dc.description.references Wilmink, F. A., Wilms, F. F., Heydanus, R., Mol, B. W. J., & Papatsonis, D. N. M. (2008). Fetal complications after placement of an intrauterine pressure catheter: A report of two cases and review of the literature. The Journal of Maternal-Fetal & Neonatal Medicine, 21(12), 880-883. doi:10.1080/14767050802220508 es_ES
dc.description.references Hadar, E., Biron-Shental, T., Gavish, O., Raban, O., & Yogev, Y. (2014). A comparison between electrical uterine monitor, tocodynamometer and intra uterine pressure catheter for uterine activity in labor. The Journal of Maternal-Fetal & Neonatal Medicine, 28(12), 1367-1374. doi:10.3109/14767058.2014.954539 es_ES
dc.description.references Alberola-Rubio, J., Prats-Boluda, G., Ye-Lin, Y., Valero, J., Perales, A., & Garcia-Casado, J. (2013). Comparison of non-invasive electrohysterographic recording techniques for monitoring uterine dynamics. Medical Engineering & Physics, 35(12), 1736-1743. doi:10.1016/j.medengphy.2013.07.008 es_ES
dc.description.references Euliano, T. Y., Nguyen, M. T., Darmanjian, S., McGorray, S. P., Euliano, N., Onkala, A., & Gregg, A. R. (2013). Monitoring uterine activity during labor: a comparison of 3 methods. American Journal of Obstetrics and Gynecology, 208(1), 66.e1-66.e6. doi:10.1016/j.ajog.2012.10.873 es_ES
dc.description.references Euliano, T. Y., Nguyen, M. T., Marossero, D., & Edwards, R. K. (2007). Monitoring Contractions in Obese Parturients. Obstetrics & Gynecology, 109(5), 1136-1140. doi:10.1097/01.aog.0000258799.24496.93 es_ES
dc.description.references Benalcazar Parra, C., Tendero, A. I., Ye-Lin, Y., Alberola-Rubio, J., Perales Marin, A., Garcia-Casado, J., & Prats-Boluda, G. (2018). 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. doi:10.5220/0006649400700077 es_ES
dc.description.references Euliano, T., Skowronski, M., Marossero, D., Shuster, J., & Edwards, R. (2006). Prediction of intrauterine pressure waveform from transabdominal electrohysterography. The Journal of Maternal-Fetal & Neonatal Medicine, 19(12), 803-808. doi:10.1080/14767050601023657 es_ES
dc.description.references Benalcazar-Parra, C., Garcia-Casado, J., Ye-Lin, Y., Alberola-Rubio, J., Lopez, Á., Perales-Marin, A., & Prats-Boluda, G. (2019). New electrohysterogram-based estimators of intrauterine pressure signal, tonus and contraction peak for non-invasive labor monitoring. Physiological Measurement, 40(8), 085003. doi:10.1088/1361-6579/ab37db es_ES
dc.description.references Rooijakkers, M. J., Rabotti, C., Oei, S. G., Aarts, R. M., & Mischi, M. (2014). Low-complexity intrauterine pressure estimation using the Teager energy operator on electrohysterographic recordings. Physiological Measurement, 35(7), 1215-1228. doi:10.1088/0967-3334/35/7/1215 es_ES
dc.description.references Schlembach, D., Maner, W. L., Garfield, R. E., & Maul, H. (2009). Monitoring the progress of pregnancy and labor using electromyography. European Journal of Obstetrics & Gynecology and Reproductive Biology, 144, S33-S39. doi:10.1016/j.ejogrb.2009.02.016 es_ES
dc.description.references Fele-Žorž, G., Kavšek, G., Novak-Antolič, Ž., & Jager, F. (2008). A comparison of various linear and non-linear signal processing techniques to separate uterine EMG records of term and pre-term delivery groups. Medical & Biological Engineering & Computing, 46(9), 911-922. doi:10.1007/s11517-008-0350-y es_ES
dc.description.references Hassan, M., Terrien, J., Marque, C., & Karlsson, B. (2011). Comparison between approximate entropy, correntropy and time reversibility: Application to uterine electromyogram signals. Medical Engineering & Physics, 33(8), 980-986. doi:10.1016/j.medengphy.2011.03.010 es_ES
dc.description.references Mas-Cabo, J., Prats-Boluda, G., Perales, A., Garcia-Casado, J., Alberola-Rubio, J., & Ye-Lin, Y. (2018). Uterine electromyography for discrimination of labor imminence in women with threatened preterm labor under tocolytic treatment. Medical & Biological Engineering & Computing, 57(2), 401-411. doi:10.1007/s11517-018-1888-y es_ES
dc.description.references Lemancewicz, A., Borowska, M., Kuć, P., Jasińska, E., Laudański, P., Laudański, T., & Oczeretko, E. (2016). Early diagnosis of threatened premature labor by electrohysterographic recordings – The use of digital signal processing. Biocybernetics and Biomedical Engineering, 36(1), 302-307. doi:10.1016/j.bbe.2015.11.005 es_ES
dc.description.references Mas-Cabo, J., Prats-Boluda, G., Garcia-Casado, J., Alberola-Rubio, J., Perales, A., & Ye-Lin, Y. (2019). Design and Assessment of a Robust and Generalizable ANN-Based Classifier for the Prediction of Premature Birth by means of Multichannel Electrohysterographic Records. Journal of Sensors, 2019, 1-13. doi:10.1155/2019/5373810 es_ES
dc.description.references Acharya, U. R., Sudarshan, V. K., Rong, S. Q., Tan, Z., Lim, C. M., Koh, J. E., … Bhandary, S. V. (2017). Automated detection of premature delivery using empirical mode and wavelet packet decomposition techniques with uterine electromyogram signals. Computers in Biology and Medicine, 85, 33-42. doi:10.1016/j.compbiomed.2017.04.013 es_ES
dc.description.references Fergus, P., Cheung, P., Hussain, A., Al-Jumeily, D., Dobbins, C., & Iram, S. (2013). Prediction of Preterm Deliveries from EHG Signals Using Machine Learning. PLoS ONE, 8(10), e77154. doi:10.1371/journal.pone.0077154 es_ES
dc.description.references Ren, P., Yao, S., Li, J., Valdes-Sosa, P. A., & Kendrick, K. M. (2015). Improved Prediction of Preterm Delivery Using Empirical Mode Decomposition Analysis of Uterine Electromyography Signals. PLOS ONE, 10(7), e0132116. doi:10.1371/journal.pone.0132116 es_ES
dc.description.references Benalcazar-Parra, C., Ye-Lin, Y., Garcia-Casado, J., Monfort-Ortiz, R., Alberola-Rubio, J., Perales, A., & Prats-Boluda, G. (2019). Prediction of Labor Induction Success from the Uterine Electrohysterogram. Journal of Sensors, 2019, 1-12. doi:10.1155/2019/6916251 es_ES
dc.description.references Sammali, F., Kuijsters, N. P. M., Schoot, B. C., Mischi, M., & Rabotti, C. (2018). Feasibility of Transabdominal Electrohysterography for Analysis of Uterine Activity in Nonpregnant Women. Reproductive Sciences, 25(7), 1124-1133. doi:10.1177/1933719118768700 es_ES
dc.description.references Ye-Lin, Y., Bueno-Barrachina, J. M., Prats-boluda, G., Rodriguez de Sanabria, R., & Garcia-Casado, J. (2017). Wireless sensor node for non-invasive high precision electrocardiographic signal acquisition based on a multi-ring electrode. Measurement, 97, 195-202. doi:10.1016/j.measurement.2016.11.009 es_ES
dc.description.references Maul, H., Maner, W., Olson, G., Saade, G., & Garfield, R. (2004). Non-invasive transabdominal uterine electromyography correlates with the strength of intrauterine pressure and is predictive of labor and delivery. The Journal of Maternal-Fetal & Neonatal Medicine, 15(5), 297-301. doi:10.1080/14767050410001695301 es_ES
dc.description.references Shukla, S., Singh, S. K., & Mitra, D. (2020). An efficient heart sound segmentation approach using kurtosis and zero frequency filter features. Biomedical Signal Processing and Control, 57, 101762. doi:10.1016/j.bspc.2019.101762 es_ES
dc.description.references Ye-Lin, Y., Alberola-Rubio, J., Prats-boluda, G., Perales, A., Desantes, D., & Garcia-Casado, J. (2014). Feasibility and Analysis of Bipolar Concentric Recording of Electrohysterogram with Flexible Active Electrode. Annals of Biomedical Engineering, 43(4), 968-976. doi:10.1007/s10439-014-1130-5 es_ES
dc.description.references Vrhovec, J., Macek-Lebar, A., & Rudel, D. (s. f.). Evaluating Uterine Electrohysterogram with Entropy. IFMBE Proceedings, 144-147. doi:10.1007/978-3-540-73044-6_36 es_ES
dc.description.references Zhang, X.-S., Roy, R. J., & Jensen, E. W. (2001). EEG complexity as a measure of depth of anesthesia for patients. IEEE Transactions on Biomedical Engineering, 48(12), 1424-1433. doi:10.1109/10.966601 es_ES
dc.description.references Aboy, M., Hornero, R., Abasolo, D., & Alvarez, D. (2006). Interpretation of the Lempel-Ziv Complexity Measure in the Context of Biomedical Signal Analysis. IEEE Transactions on Biomedical Engineering, 53(11), 2282-2288. doi:10.1109/tbme.2006.883696 es_ES
dc.description.references Katz, M. J. (1988). Fractals and the analysis of waveforms. Computers in Biology and Medicine, 18(3), 145-156. doi:10.1016/0010-4825(88)90041-8 es_ES
dc.description.references De Lau, H., Yang, K. T., Rabotti, C., Vlemminx, M., Bajlekov, G., Mischi, M., & Oei, S. G. (2016). Toward a new modality for detecting a uterine rupture: electrohysterogram propagation analysis during trial of labor after cesarean. The Journal of Maternal-Fetal & Neonatal Medicine, 30(5), 574-579. doi:10.1080/14767058.2016.1178227 es_ES
dc.description.references Benalcazar-Parra, C., Ye-Lin, Y., Garcia-Casado, J., Monfort-Orti, R., Alberola-Rubio, J., Perales, A., & Prats-Boluda, G. (2018). Electrohysterographic characterization of the uterine myoelectrical response to labor induction drugs. Medical Engineering & Physics, 56, 27-35. doi:10.1016/j.medengphy.2018.04.002 es_ES
dc.description.references Garcia-Casado, J., Ye-Lin, Y., Prats-Boluda, G., Mas-Cabo, J., Alberola-Rubio, J., & Perales, A. (2018). Electrohysterography in the diagnosis of preterm birth: a review. Physiological Measurement, 39(2), 02TR01. doi:10.1088/1361-6579/aaad56 es_ES
dc.description.references Fisch, G. S., Cohen, I. L., Jenkins, E. C., & Brown, W. T. (1988). Screening developmentally disabled male populations for fragile X: The effect of sample size. American Journal of Medical Genetics, 30(1-2), 655-663. doi:10.1002/ajmg.1320300166 es_ES
dc.description.references Ye-Lin, Y., Garcia-Casado, J., Prats-Boluda, G., Alberola-Rubio, J., & Perales, A. (2014). Automatic Identification of Motion Artifacts in EHG Recording for Robust Analysis of Uterine Contractions. Computational and Mathematical Methods in Medicine, 2014, 1-11. doi:10.1155/2014/470786 es_ES
dc.description.references Alberola-Rubio, J., Garcia-Casado, J., Prats-Boluda, G., Ye-Lin, Y., Desantes, D., Valero, J., & Perales, A. (2017). Prediction of labor onset type: Spontaneous vs induced; role of electrohysterography? Computer Methods and Programs in Biomedicine, 144, 127-133. doi:10.1016/j.cmpb.2017.03.018 es_ES
dc.description.references Maner, W. L., MacKay, L. B., Saade, G. R., & Garfield, R. E. (2006). Characterization of abdominally acquired uterine electrical signals in humans, using a non-linear analytic method. Medical & Biological Engineering & Computing, 44(1-2), 117-123. doi:10.1007/s11517-005-0011-3 es_ES
dc.description.references Marchini, G., Lagercrantz, H., Winberg, J., & Uvnäs-Moberg, K. (1988). Fetal and maternal plasma levels of gastrin, somatostatin and oxytocin after vaginal delivery and elective cesarean section. Early Human Development, 18(1), 73-79. doi:10.1016/0378-3782(88)90044-8 es_ES
dc.description.references Pickering, K., Gallos, I. D., Williams, H., Price, M. J., Merriel, A., Lissauer, D., … Roberts, T. E. (2018). Uterotonic Drugs for the Prevention of Postpartum Haemorrhage: A Cost-Effectiveness Analysis. PharmacoEconomics - Open, 3(2), 163-176. doi:10.1007/s41669-018-0108-x es_ES
dc.description.references Morfaw, F., Fundoh, M., Pisoh, C., Ayaba, B., Mbuagbaw, L., Anderson, L. N., & Thabane, L. (2019). Misoprostol as an adjunct to oxytocin can reduce postpartum-haemorrhage: a propensity score–matched retrospective chart review in Bamenda-Cameroon, 2015–2016. BMC Pregnancy and Childbirth, 19(1). doi:10.1186/s12884-019-2407-3 es_ES
dc.description.references Grotegut, C. A., Paglia, M. J., Johnson, L. N. C., Thames, B., & James, A. H. (2011). Oxytocin exposure during labor among women with postpartum hemorrhage secondary to uterine atony. American Journal of Obstetrics and Gynecology, 204(1), 56.e1-56.e6. doi:10.1016/j.ajog.2010.08.023 es_ES
dc.description.references Shen, Y., Oda, T., Tamura, N., Kohmura‐Kobayashi, Y., Furuta‐Isomura, N., Yaguchi, C., … Kanayama, N. (2019). Elevated bradykinin receptor type 1 expression in postpartum acute myometritis: Possible involvement in augmented interstitial edema of the atonic gravid uterus. Journal of Obstetrics and Gynaecology Research, 45(8), 1553-1561. doi:10.1111/jog.14012 es_ES
dc.subject.ods 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades es_ES


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