These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
3. Automatic recognition of uterine contractions with electrohysterogram signals based on the zero-crossing rate. Song X; Qiao X; Hao D; Yang L; Zhou X; Xu Y; Zheng D Sci Rep; 2021 Jan; 11(1):1956. PubMed ID: 33479344 [TBL] [Abstract][Full Text] [Related]
4. [Prognostic value of chosen parameters of mechanical and bioelectrical uterine activity in prediction of threatening preterm labour]. Zietek J; Sikora J; Horoba K; Matonia A; Jezewski J; Magnucki J; Kobielska L Ginekol Pol; 2009 Mar; 80(3):193-200. PubMed ID: 19382611 [TBL] [Abstract][Full Text] [Related]
5. Monitoring uterine activity during labor: a comparison of 3 methods. Euliano TY; Nguyen MT; Darmanjian S; McGorray SP; Euliano N; Onkala A; Gregg AR Am J Obstet Gynecol; 2013 Jan; 208(1):66.e1-6. PubMed ID: 23122926 [TBL] [Abstract][Full Text] [Related]
6. Acquisition and Analysis of Electrohysterogram Signal. R P; S SD J Med Syst; 2020 Feb; 44(3):66. PubMed ID: 32040634 [TBL] [Abstract][Full Text] [Related]
7. Characterization of EHG contractions at term labor by nonlinear analysis. Garcia-Gonzalez MT; Charleston-Villalobos S; Vargas-Garcia C; Gonzalez-Camarena R; Aljama-Corrales T Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():7432-5. PubMed ID: 24111463 [TBL] [Abstract][Full Text] [Related]
8. On the propagation analysis of electrohysterographic signals. Rabotti C; Mischi M; van Laar J; Oei G; Bergmans J Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():3868-71. PubMed ID: 19163557 [TBL] [Abstract][Full Text] [Related]
9. Multi-channel electrohysterography enabled uterine contraction characterization and its effect in delivery assessment. Shen J; Liu Y; Zhang M; Pumir A; Mu L; Li B; Xu J Comput Biol Med; 2023 Dec; 167():107697. PubMed ID: 37976821 [TBL] [Abstract][Full Text] [Related]
10. Automatic identification of motion artifacts in EHG recording for robust analysis of uterine contractions. Ye-Lin Y; Garcia-Casado J; Prats-Boluda G; Alberola-Rubio J; Perales A Comput Math Methods Med; 2014; 2014():470786. PubMed ID: 24523828 [TBL] [Abstract][Full Text] [Related]
11. Development of Electrohysterogram Recording System for Monitoring Uterine Contraction. Hao D; An Y; Qiao X; Qiu Q; Zhou X; Peng J J Healthc Eng; 2019; 2019():4230157. PubMed ID: 31354930 [TBL] [Abstract][Full Text] [Related]
12. Characterization and automatic classification of preterm and term uterine records. Jager F; Libenšek S; Geršak K PLoS One; 2018; 13(8):e0202125. PubMed ID: 30153264 [TBL] [Abstract][Full Text] [Related]
13. Automated detection of premature delivery using empirical mode and wavelet packet decomposition techniques with uterine electromyogram signals. Acharya UR; Sudarshan VK; Rong SQ; Tan Z; Lim CM; Koh JE; Nayak S; Bhandary SV Comput Biol Med; 2017 Jun; 85():33-42. PubMed ID: 28433870 [TBL] [Abstract][Full Text] [Related]
14. Performance comparison of coupling-evaluation methods in discriminating between pregnancy and labor EHG signals. Diab A; Boudaoud S; Karlsson B; Marque C Comput Biol Med; 2021 May; 132():104308. PubMed ID: 33711558 [TBL] [Abstract][Full Text] [Related]
15. Prediction of labor using non-invasive Laplacian EHG recordings. Ye-Lin Y; Prats-Boluda G; Alberola-Rubio J; Bueno Barrachina JM; Perales A; Garcia-Casado J Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():7428-31. PubMed ID: 24111462 [TBL] [Abstract][Full Text] [Related]
16. Electrohysterographic conduction velocity estimation. Mischi M; Rabotti C; Vosters LJ; Oei SG; Bergmans JM Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():6934-7. PubMed ID: 19964460 [TBL] [Abstract][Full Text] [Related]
17. Ultrasound analysis of the uterine wall movement for improved electrohysterographic measurement and modeling. Rabotti C; de Lau H; Haazen N; Oei G; Mischi M Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():7436-9. PubMed ID: 24111464 [TBL] [Abstract][Full Text] [Related]
18. Comparison of non-invasive electrohysterographic recording techniques for monitoring uterine dynamics. Alberola-Rubio J; Prats-Boluda G; Ye-Lin Y; Valero J; Perales A; Garcia-Casado J Med Eng Phys; 2013 Dec; 35(12):1736-43. PubMed ID: 23958388 [TBL] [Abstract][Full Text] [Related]
19. Qualitative assessment of interpretability and observer agreement of three uterine monitoring techniques. Thijssen KMJ; Tissink JGLJ; Dieleman JP; Van der Hout-van der Jagt MB; Westerhuis MEMH; Oei SG Eur J Obstet Gynecol Reprod Biol; 2020 Dec; 255():142-146. PubMed ID: 33129016 [TBL] [Abstract][Full Text] [Related]
20. Preliminary Study on the Efficient Electrohysterogram Segments for Recognizing Uterine Contractions with Convolutional Neural Networks. Peng J; Hao D; Liu H; Liu J; Zhou X; Zheng D Biomed Res Int; 2019; 2019():3168541. PubMed ID: 31737659 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]