… It is therefore of key importance to diagnose preterm delivery in advance in order to avoid or
… -invasive diagnosis of preterm delivery based on the classification of electrohysterography (…

… monitoring the labor process especially for the prediction of preterm labor. Electrohysterography
is a … This section contains results and discussion about various preterm labor detection …

… form of electrohysterogram (EHG) opens a new research direction for the development of …
This review focuses on EHG signal analysis and its application to preterm birth diagnostic …

… Accurate diagnosis of preterm delivery is one of the most … techniques for diagnosing preterm
delivery include … variability and inaccurate diagnosis or prediction of preterm delivery [2]. …

… electrohysterogram, this paper designed a new method using wavelet-based nonlinear
features and stacked sparse autoencoder for preterm birth detection… of electrohysterogram. The …

… difficulty of diagnosis of preterm delivery given the lack of understanding about its causes. …
medical fields that are utilised for preterm birth detection, such as electrohysterography (EHG), …

… on electrohysterography (EHG) could help to early detect the … of EHG-biomarkers for the
early detection of high-risk obstetrical … deliveries. Discriminatory capacity of EHGbiomarkers for …

… For this comparison, we included results only from studies published in peer-reviewed
journals, with sound methodology, that reported the AUC of the predictions, and which included at …

… preterm labor and birth. According to this study, various machine learning approaches can aid
in the diagnosis of preterm births… EMG) information, and electro hysterography (EHG) have …

… signals and its application for the early diagnosis of PTB using machine learning techniques…
as the efficacy of machine learning methods for early diagnosis of PTB. Further, potential …