Assessment of non-linear features for intrapartal fetal heart rate classification

التفاصيل البيبلوغرافية
العنوان: Assessment of non-linear features for intrapartal fetal heart rate classification
المؤلفون: Lenka Lhotska, Jiri Spilka, Michal Koucky, Vaclav Chudacek
المصدر: 2009 9th International Conference on Information Technology and Applications in Biomedicine.
بيانات النشر: IEEE, 2009.
سنة النشر: 2009
مصطلحات موضوعية: medicine.diagnostic_test, Remote patient monitoring, business.industry, Nonlinear methods, Pattern recognition, Fetal heart rate, embryonic structures, medicine, Lempel-Ziv complexity, Fetal well being, Cardiotocography, Correlation method, Statistical analysis, Artificial intelligence, business, Mathematics
الوصف: Fetal heart rate (fHR) is used to evaluate the fetal well-being during the delivery. It provides information of fetal status and allows doctors to detect ongoing hypoxia. The routine intrapartal evaluation is based on description of macroscopic morphological features of the fHR baseline. FHR contains more information than is used so far, therefore in this work we have focused on evaluation of nonlinear features for fHR signal description.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::ca4963e49509b52447e3edf1a3e93caeTest
https://doi.org/10.1109/itab.2009.5394442Test
رقم الانضمام: edsair.doi...........ca4963e49509b52447e3edf1a3e93cae
قاعدة البيانات: OpenAIRE