|
[1]
|
Cohen, W.R. (2017) Clinical Assessment of Uterine Contractions. International Journal of Gynecology & Obstetrics, 139, 137-142. [Google Scholar] [CrossRef] [PubMed]
|
|
[2]
|
Vlemminx, M.W.C., Thijssen, K.M.J., Bajlekov, G.I., Dieleman, J.P., Van Der Hout-Van Der Jagt, M.B. and Oei, S.G. (2017) Electrohysterography for Uterine Monitoring during Term Labour Compared to External Tocodynamometry and Intra-Uterine Pressure Catheter. European Journal of Obstetrics & Gynecology and Reproductive Biology, 215, 197-205. [Google Scholar] [CrossRef] [PubMed]
|
|
[3]
|
Alvarez, H. and Caldetro, R. (1950) Contractility of the Human Uterus Recorded by New Methods. Surgery, Gynecology and Obstetrics, 91, 1-13.
|
|
[4]
|
Newman, R.B. (2005) Uterine Contraction Assessment. Obstetrics and Gynecology Clinics of North America, 32, 341-367. [Google Scholar] [CrossRef] [PubMed]
|
|
[5]
|
Reynolds, S.R.M., Harris, J.S., Kaiser, I.H. and Thomas, C.C. (1955) Clinical Measurement of Uterine Forces in Pregnancy and Labor. Obstetrical & Gynecological Survey, 10, 224-227. [Google Scholar] [CrossRef]
|
|
[6]
|
Moore, T.R., Iams, J.D., Creasy, R.K., Burau, K.D. and Davidson, A.L. (1994) Diurnal and Gestational Patterns of Uterine Activity in Normal Human Pregnancy. Obstetrics & Gynecology, 83, 517-523. [Google Scholar] [CrossRef] [PubMed]
|
|
[7]
|
Nageotte, M.P., Dorchester, W., Porto, M., Keegan, K.A. and Freeman, R.K. (1988) Quantitation of Uterine Activity Preceding Preterm, Term, and Postterm Labor. American Journal of Obstetrics and Gynecology, 158, 1254-1259. [Google Scholar] [CrossRef] [PubMed]
|
|
[8]
|
Rabotti, C. and Mischi, M. (2015) Propagation of Electrical Activity in Uterine Muscle during Pregnancy: A Review. Acta Physiologica, 213, 406-416. [Google Scholar] [CrossRef] [PubMed]
|
|
[9]
|
Ye, Y., Song, X., Liu, L., Shi, S., Garfield, R.E., Zhang, G., et al. (2015) Effects of Patient-Controlled Epidural Analgesia on Uterine Electromyography during Spontaneous Onset of Labor in Term Nulliparous Women. Reproductive Sciences, 22, 1350-1357. [Google Scholar] [CrossRef] [PubMed]
|
|
[10]
|
Wray, S. (1993) Uterine Contraction and Physiological Mechanisms of Modulation. American Journal of Physiology-Cell Physiology, 264, C1-C18. [Google Scholar] [CrossRef] [PubMed]
|
|
[11]
|
Kuriyama, H. and Suzuki, H. (1976) Changes in Electrical Properties of Rat Myometrium during Gestation and Following Hormonal Treatments. The Journal of Physiology, 260, 315-333. [Google Scholar] [CrossRef] [PubMed]
|
|
[12]
|
Ohya, Y. and Sperelakis, N. (1989) Fast Na+ and Slow Ca2+ Channels in Single Uterine Muscle Cells from Pregnant Rats. American Journal of Physiology-Cell Physiology, 257, C408-C412. [Google Scholar] [CrossRef] [PubMed]
|
|
[13]
|
Sanborn, B.M. (2000) Relationship of Ion Channel Activity to Control of Myometrial Calcium. Journal of the Society for Gynecologic Investigation, 7, 4-11. [Google Scholar] [CrossRef] [PubMed]
|
|
[14]
|
Shmigol, A.V., Eisner, D.A. and Wray, S. (1999) The Role of the Sarcoplasmic Reticulum as a Ca2+ Sink in Rat Uterine Smooth Muscle Cells. The Journal of Physiology, 520, 153-163. [Google Scholar] [CrossRef] [PubMed]
|
|
[15]
|
Maul, H., Maner, W.L., Saade, G.R. and Garfield, R.E. (2003) The Physiology of Uterine Contractions. Clinics in Perinatology, 30, 665-676. [Google Scholar] [CrossRef] [PubMed]
|
|
[16]
|
Kao, C.Y. (1959) Long-Term Observations of Spontaneous Electrical Activity of the Uterine Smooth Muscle. American Journal of Physiology-Legacy Content, 196, 343-350. [Google Scholar] [CrossRef] [PubMed]
|
|
[17]
|
Bode, O. (1931) Das Elektrohysterogramm. Archiv für Gynäkologie, 146, 123-128. [Google Scholar] [CrossRef]
|
|
[18]
|
Steer, C.M. and Hertsch, G.J. (1950) Electrical Activity of the Human Uterus in Labor. The Electrohysterograph. American Journal of Obstetrics and Gynecology, 59, 25-40. [Google Scholar] [CrossRef] [PubMed]
|
|
[19]
|
Devedeux, D., Marque, C., Mansour, S., Germain, G. and Duchêne, J. (1993) Uterine Electromyography: A Critical Review. American Journal of Obstetrics and Gynecology, 169, 1636-1653. [Google Scholar] [CrossRef] [PubMed]
|
|
[20]
|
Marshall, J.M. (1962) Regulation of Activity in Uterine Smooth Muscle. Physiological Reviews. Supplement, 5, 213-227.
|
|
[21]
|
Jezewski, J., Horoba, K., Matonia, A. and Wrobel, J. (2005) Quantitative Analysis of Contraction Patterns in Electrical Activity Signal of Pregnant Uterus as an Alternative to Mechanical Approach. Physiological Measurement, 26, 753-767. [Google Scholar] [CrossRef] [PubMed]
|
|
[22]
|
Garfield, R.E., Taylor, C.S. and Bytautiene, E. (1998) Control and Assessment of the Uterus and Cervix during Pregnancy and Labour. Human Reproduction Update, 4, 673-695. [Google Scholar] [CrossRef] [PubMed]
|
|
[23]
|
Leman, H., Marque, C. and Gondry, J. (1999) Use of the Electrohysterogram Signal for Characterization of Contractions during Pregnancy. IEEE Transactions on Biomedical Engineering, 46, 1222-1229. [Google Scholar] [CrossRef] [PubMed]
|
|
[24]
|
Buhimschi, C., Boyle, M. and Garfield, R. (1997) Electrical Activity of the Human Uterus during Pregnancy as Recorded from the Abdominal Surface. Obstetrics & Gynecology, 90, 102-111. [Google Scholar] [CrossRef] [PubMed]
|
|
[25]
|
Beck, S., Wojdyla, D., Say, L., Pilar Bertran, A., Meraldi, M., Harris Requejo, J., et al. (2010) The Worldwide Incidence of Preterm Birth: A Systematic Review of Maternal Mortality and Morbidity. Bulletin of the World Health Organization, 88, 31-38. [Google Scholar] [CrossRef] [PubMed]
|
|
[26]
|
吴沈冠, 邓艳军, 张烨菲, 等. 基于卷积神经网络的EHG胎儿早产识别算法[J]. 中国医疗器械杂志,2022, 46(3): 242-247. [Google Scholar] [CrossRef] [PubMed]
|
|
[27]
|
Xu, J., Chen, Z., Lou, H., Shen, G. and Pumir, A. (2022) Review on EHG Signal Analysis and Its Application in Preterm Diagnosis. Biomedical Signal Processing and Control, 71, Article ID: 103231. [Google Scholar] [CrossRef]
|
|
[28]
|
Lou, H., Liu, H., Chen, Z., Zhen, Z., Dong, B. and Xu, J. (2022) Bio-Process Inspired Characterization of Pregnancy Evolution Using Entropy and Its Application in Preterm Birth Detection. Biomedical Signal Processing and Control, 75, Article ID: 103587. [Google Scholar] [CrossRef]
|
|
[29]
|
杨雅琴, 李佳慧, 赵莉萍, 等. 自发性早产预测的研究进展[J]. 中国生育健康杂志, 2023, 34(5): 492-497.
|
|
[30]
|
Ertel, W. (2018) Introduction to Artificial Intelligence. Springer.
|
|
[31]
|
Diab, M.O., El-Merhie, A., El-Halabi, N. and Khoder, L. (2010) Classification of Uterine EMG Signals Using Supervised Classification Method. Journal of Biomedical Science and Engineering, 3, 837-842. [Google Scholar] [CrossRef]
|
|
[32]
|
Naeem, S.M., Seddik, A.F. and Eldosoky, M.A. (2014) New Technique Based on Uterine Electromyography Nonlinearity for Preterm Delivery Detection. Journal of Engineering and Technology Research, 6, 107-114.
|
|
[33]
|
Gerstner, W. and Kistler, W.M. (2002) Spiking Neuron Models: Single Neurons, Populations, Plasticity. Cambridge University Press. [Google Scholar] [CrossRef]
|
|
[34]
|
Veena, A. and Gowrishankar, S. (2024) An Automated Pre-Term Prediction System Using EHG Signal with the Aid of Deep Learning Technique. Multimedia Tools and Applications, 83, 4093-4113. [Google Scholar] [CrossRef]
|
|
[35]
|
Deng, Y., Zhang, Y., Wu, S., Shao, L. and Zhang, X. (2021) EHG-Based Preterm Delivery Prediction Algorithm Driven by Transfer Learning. In: Computer Methods in Medicine and Health Care, IOS Press, 61-70. [Google Scholar] [CrossRef]
|
|
[36]
|
Fischer, A.M., Rietveld, A.L., Teunissen, P.W., Bakker, P.C.A.M. and Hoogendoorn, M. (2023) End-to-End Learning with Interpretation on Electrohysterography Data to Predict Preterm Birth. Computers in Biology and Medicine, 158, Article ID: 106846. [Google Scholar] [CrossRef] [PubMed]
|
|
[37]
|
Fergus, P., Idowu, I., Hussain, A. and Dobbins, C. (2016) Advanced Artificial Neural Network Classification for Detecting Preterm Births Using EHG Records. Neurocomputing, 188, 42-49. [Google Scholar] [CrossRef]
|
|
[38]
|
Goldsztejn, U. and Nehorai, A. (2023) Predicting Preterm Births from Electrohysterogram Recordings via Deep Learning. PLOS ONE, 18, e0285219. [Google Scholar] [CrossRef] [PubMed]
|
|
[39]
|
Mohammadi Far, S., Beiramvand, M., Shahbakhti, M. and Augustyniak, P. (2023) Prediction of Preterm Labor from the Electrohysterogram Signals Based on Different Gestational Weeks. Sensors, 23, Article No. 5965. [Google Scholar] [CrossRef] [PubMed]
|
|
[40]
|
Chowdhury, R.H., Hossain, Q.D. and Ahmad, M. (2024) Automated Method for Uterine Contraction Extraction and Classification of Term versus Pre-Term EHG Signals. IEEE Access, 12, 49363-49375. [Google Scholar] [CrossRef]
|
|
[41]
|
You, J., Kim, Y., Seok, W., Lee, S., Sim, D., Park, K.S., et al. (2019) Multivariate Time-Frequency Analysis of Electrohysterogram for Classification of Term and Preterm Labor. Journal of Electrical Engineering & Technology, 14, 897-916. [Google Scholar] [CrossRef]
|
|
[42]
|
Saleem, S., Saeed, A., Usman, S., Ferzund, J., Arshad, J., Mirza, J., et al. (2020) Granger Causal Analysis of Electrohysterographic and Tocographic Recordings for Classification of Term vs. Preterm Births. Biocybernetics and Biomedical Engineering, 40, 454-467. [Google Scholar] [CrossRef]
|
|
[43]
|
Jager, F., Libenšek, S. and Geršak, K. (2018) Characterization and Automatic Classification of Preterm and Term Uterine Records. PLOS ONE, 13, e0202125. [Google Scholar] [CrossRef] [PubMed]
|
|
[44]
|
Shahrdad, M. and Amirani, M.C. (2018) Detection of Preterm Labor by Partitioning and Clustering the EHG Signal. Biomedical Signal Processing and Control, 45, 109-116. [Google Scholar] [CrossRef]
|
|
[45]
|
黄强, 姜飞洲, 侯文杰, 等. 子宫肌电图对先兆早产孕妇使用宫缩抑制剂后发生早产的预测[J]. 实用妇产科杂志, 2025, 41(4): 346-350.
|
|
[46]
|
Xie, H., Zhu, M., Deng, K., Yi, J., Zhu, L., Tan, J., et al. (2024) Use of Uterine Electromyography in the Prediction of Preterm Birth after Transvaginal Cervical Cerclage. BMC Pregnancy and Childbirth, 24, Article No. 716. [Google Scholar] [CrossRef] [PubMed]
|
|
[47]
|
Yang, J., Pan, X., Garfield, R.E. and Liu, H. (2021) Uterine Electromyography (EMG) Measurements to Predict Preterm Caesarean Section in Patients with Complete Placenta Previa. Journal of Obstetrics and Gynaecology, 41, 532-535. [Google Scholar] [CrossRef] [PubMed]
|
|
[48]
|
Qiao, J., Wang, Y., Li, X., Jiang, F., Zhang, Y., Ma, J., et al. (2021) A Lancet Commission on 70 Years of Women’s Reproductive, Maternal, Newborn, Child, and Adolescent Health in China. The Lancet, 397, 2497-2536. [Google Scholar] [CrossRef] [PubMed]
|
|
[49]
|
李婉婷, 纪蔓, 李广飞. 基于EHG的复杂临床环境下的临产孕妇分娩结局分析[J]. 临床医学进展, 2024, 14(5): 493-502.
|
|
[50]
|
Vasak, B., Graatsma, E.M., Hekman-Drost, E., Eijkemans, M.J., Schagen van Leeuwen, J.H., Visser, G.H., et al. (2013) Uterine Electromyography for Identification of First-Stage Labor Arrest in Term Nulliparous Women with Spontaneous Onset of Labor. American Journal of Obstetrics and Gynecology, 209, 232.e1-232.e8. [Google Scholar] [CrossRef] [PubMed]
|
|
[51]
|
Diaz-Martinez, A., Mas-Cabo, J., Prats-Boluda, G., Garcia-Casado, J., Cardona-Urrego, K., Monfort-Ortiz, R., et al. (2020) A Comparative Study of Vaginal Labor and Caesarean Section Postpartum Uterine Myoelectrical Activity. Sensors, 20, Article No. 3023. [Google Scholar] [CrossRef] [PubMed]
|
|
[52]
|
赵晨宇. 妊娠晚期子宫肌电特点及其与妊娠结局的关系[D]: [硕士学位论文]. 广州: 广州医科大学, 2024.
|
|
[53]
|
Sammali, F., Blank, C., Bakkes, T.G.H., Huang, Y., Rabotti, C., Schoot, B.C., et al. (2021) Multi-Modal Uterine-Activity Measurements for Prediction of Embryo Implantation by Machine Learning. IEEE Access, 9, 47096-47111. [Google Scholar] [CrossRef]
|
|
[54]
|
Fanchin, R. and Ayoubi, J.M. (2009) Uterine Dynamics: Impact on the Human Reproduction Process. Reproductive BioMedicine Online, 18, S57-S62. [Google Scholar] [CrossRef] [PubMed]
|