Automated fetal heart rate analysis for baseline determination using EMAU-Net-Reference-Cited by-同舟云学术

Automated fetal heart rate analysis for baseline determination using EMAU-Net

Published:2023-10 Issue: Volume:644 Page:119281
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Liu Mujun^ORCID,Zeng Rongdan,Xiao Yahui,Lu Yaosheng,Wu Yi,Long Shun^ORCID,Liu Jia,Zheng Zheng,Wang Huijin,Bai Jieyun

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference45 articles.

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2. On designing a biosignal-based fetal state assessment system: a systematic mapping study;da Silva Neto;Comput. Methods Programs Biomed.,2022

3. Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier;Zeng;Comput. Biol. Med.,2021

4. A deep feature fusion network for fetal state assessment;Xiao;Front. Physiol.,2022

5. An attention-based CNN-BiLSTM hybrid neural network enhanced with features of discrete wavelet transformation for fetal acidosis classification;Liu;Expert Syst. Appl.,2021

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1. AI-driven paradigm shift in computerized cardiotocography analysis: A systematic review and promising directions;Neurocomputing;2024-11

2. ETCNN: An ensemble transformer-convolutional neural network for automatic analysis of fetal heart rate;Biomedical Signal Processing and Control;2024-10

3. Editorial: New technologies improve maternal and newborn safety;Frontiers in Medical Technology;2024-05-30

4. Automated analysis of fetal heart rate baseline/acceleration/deceleration using MTU-Net3 + model;Biomedical Engineering Letters;2024-05-09