Real-time Classification of Fetal Status Based on Deep Learning and Cardiotocography Data.

This study uses convolutional neural networks (CNNs) and cardiotocography data for the real-time classification of fetal status in the mobile application of a pregnant woman and the computer server of a data expert at the same time (The sensor is connected with the smartphone, which is linked with t...

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Detalles Bibliográficos

Publicado en:	Journal of Medical Systems Vol. 47; no. 1; pp. 1 - 8
Autores principales:	Lee, Kwang-Sig, Choi, Eun Saem, Nam, Young Jin, Liu, Nae Won, Yang, Yong Seok, Kim, Ho Yeon, Ahn, Ki Hoon, Hong, Soon Cheol
Formato:	pictorial research tables/charts tracings Journal Article
Publicado:	Springer Nature 8/3/2023
Acceso en línea:	Ver este registro en EBSCOhost