- -

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

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

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

Show full item record

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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/162610

Files in this item

Item Metadata

Title: A Comparative Study of Vaginal Labor and Caesarean Section Postpartum Uterine Myoelectrical Activity
Author: Díaz-Martínez, María del Alba Mas-Cabo, Javier Prats-Boluda, Gema Garcia-Casado, Javier Cardona-Urrego, Karen Monfort-Ortiz, Rogelio Lopez-Corral, Angel De Arriba-Garcia, Maria Perales, Alfredo Ye Lin, Yiyao
UPV Unit: Universitat Politècnica de València. Servicio de Alumnado - Servei d'Alumnat
Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
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 ...[+]
Subjects: Electrohysterogram , Uterine myoelectrical activity , Postpartum hemorrhage , Signal characterization , Uterotonic therapy
Copyrigths: Reconocimiento (by)
Source:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s20113023
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/s20113023
Project ID:
info:eu-repo/grantAgreement/GVA//GV%2F2018%2F104/
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/
info:eu-repo/grantAgreement/GVA//AICO%2F2019%2F220/
Thanks:
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).[+]
Type: Artículo

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

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

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 [+]
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[-]

recommendations

 

This item appears in the following Collection(s)

Show full item record