CTGNet: Automatic Analysis of Fetal Heart Rate from Cardiotocograph Using Artificial Intelligence

Abstract. Objective:. This study investigates the efficacy of analyzing fetal heart rate (FHR) signals based on Artificial Intelligence to obtain a baseline calculation and identify accelerations/decelerations in the FHR through electronic fetal monitoring during labor. Methods:. A total of 43,888 c...

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Detalhes bibliográficos

Principais autores:	Mei Zhong, Hao Yi, Fan Lai, Mujun Liu, Rongdan Zeng, Xue Kang, Yahui Xiao, Jingbo Rong, Huijin Wang, Jieyun Bai, Yaosheng Lu, Yang Pan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wolters Kluwer Health 2022-04-01
coleção:	Maternal-Fetal Medicine
Acesso em linha:	http://journals.lww.com/10.1097/FM9.0000000000000147
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