Classification of Fractal features of Uterine EMG Signal for the Prediction of Preterm Birth

Volume: 11, Issue: 1, Pages: 369 - 374
Published: Mar 25, 2018
Abstract
Introduction Premature birth that is birth before 37 weeks of gestation is the leading course for morbidity and mortality of babies. Even babies born few weeks early have higher rates of hospitalization and illness than term babies. Researches are going on for identifying the cause for preterm...
Paper Details
Title
Classification of Fractal features of Uterine EMG Signal for the Prediction of Preterm Birth
Published Date
Mar 25, 2018
Volume
11
Issue
1
Pages
369 - 374
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.