We tested how the efficiency of NN classification could be influenced by different modification of inputs, by interpretation of fetal outcome definition (output) ...

Cardiotocographic monitoring (CTG) is a primary biophysical method for as- sessment of a fetal state. It consists in simultaneous registration of fetal heart.

It is tested how the efficiency of NN classification could be influenced by different modification of inputs, by interpretation of fetal outcome definition ...

The contribution of this paper is to design an intelligent model using deep learning to predict fetal status with high accuracy and low error. Section snippets.

Jun 28, 2021 · In conclusion, in this study, we demonstrated that our CTG-net could predict infant outcomes from the last 30 min of CTG just before delivery ...

CTG monitoring has been shown to reduce fetal mortality, but in contrast to physicians' expectation, it does not reduce fetal morbidity. Another problem is that ...

It is based on training a Volterra based neural network to classify the fetal states based on a recorded cardiotocography (CTG) data base. The dataset consists ...

This paper proposes a type-2 fuzzy neural system (T2-FNN) for the detection of fetal health status. The structure and design algorithms of the T2-FNN system ...

Sep 27, 2024 · Using an open-source CTG dataset, we develop end-to-end neural network-based models to predict measures of fetal well-being, including both ...

Dec 14, 2022 · In the current study an innovative computer aided fetal distress diagnosing model is developed by using time frequency representation of FHR ...