Switch to side-by-side view

--- a/README.md
+++ b/README.md
@@ -68,4 +68,14 @@
 <p>No conflict of interest was declared. The funder had no role in study design, data collection, analysis, or publication.</p>
 
 <h2>References</h2>
-<p>[References 1-11 available in original documentation.]</p>
+Antoine, C. & Young, B. K. (2020). Cesarean section one hundred years 1920–2020: The good, the bad and the ugly. Journal of Perinatal Medicine, 49(1), 5–16, https://doi.org/10.1515/jpm-2020-0305
+Dahlen, H. G., Thornton, C., Downe, S., de Jonge, A., Seijmonsbergen-Schermers, A., Tracy, S., Tracy, M., Bisits, A. & Peters, L. (2021). Intrapartum interventions and outcomes for women and children following induction of labour at term in uncomplicated pregnancies: A 16-year population-based Linked Data Study. BMJ Open 11, e047040, https://doi.org/10.1136/bmjopen-2020-047040
+Mas-Cabo, J., Ye-Lin, Y., Garcia-Casado, J., Díaz-Martinez, A., Perales-Marin, A., Monfort-Ortiz, R., Roca-Prats, A., López-Corral, A. & Prats-Boluda, G. (2020). Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios. Entropy 22, 743, https://doi.org/10.3390/e22070743
+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, https://dx.doi.org/10.1016/j.cmpb.2017.03.018
+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, ID 6916251, https://doi.org/10.1155/2019/6916251
+Fergus, P., Selvaraj, M. & Chalmers, C. (2018). Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces. Computers in Biology and Medicine 93, 7–16, https://doi.org/10.1016/j.compbiomed.2017.12.002
+Jager, F. (2023). An open dataset with electrohysterogram records of pregnancies ending in induced and cesarean section delivery. Scientific Data. 10, Article number: 669, https://doi.org/10.1038/s41597-023-02581-6
+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. Med Biol Eng Comput, 46, 911–922, https://physionet.org/content/tpehgdb/1.0.1/tpehgdb.pdf
+Jager, F., Libenšek S. & Geršak, K (2018). Characterization and automatic classification of preterm and term uterine records. PLoS ONE 13(8):e0202125. https://doi.org/10.1371/journal.pone.0202125
+Pirnar, Ž., Jager, F. & Geršak, K. (2022). Characterization and separation of preterm and term spontaneous, induced, and cesarean EHG records. Computers in Biology and Medicine, 151, 106238. https://doi.org/10.1016/j.compbiomed.2022.106238
+"Slovenian Research Agency (ARRS)" https://www.arrs.gov.si/ [Accessed 08/26/2023]
\ No newline at end of file