Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system-Reference-Cited by-同舟云学术

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Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system

Published:2002-03 Issue:1 Volume:136 Page:1-27
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Guijarro-Berdiñas Bertha,Alonso-Betanzos Amparo,Fontenla-Romero Oscar

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference41 articles.

1. Computerized antenatal assessment: The NST-EXPERT project;Alonso-Betanzos;Automedica,1992

2. Automated analog-to-digital conversion of graphical cardiotocographic records;Alonso-Betanzos;J. Clin. Eng.,1995

3. The NST-EXPERT project: The need to evolve;Alonso-Betanzos;Artif. Intell. Med.,1995

4. Detection of fetal heart rate accelerations and decelerations using artificial neural networks;Alonso-Betanzos,1998

5. A multi-resolution principal component analysis neural network for the detection of foetal heart rate patterns;Alonso-Betanzos,1999

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1. Intrapartum cardiotocography trace pattern pre-processing, features extraction and fetal health condition diagnoses based on RCOG guideline;PeerJ Computer Science;2022-08-18

2. Non-linear Methods Predominant in Fetal Heart Rate Analysis: A Systematic Review;Frontiers in Medicine;2021-11-30

3. Detection of Fetal Cardiac Anomaly from Composite Abdominal Electrocardiogram;Biomedical Signal Processing and Control;2021-03

4. Shortcoming of Visual Interpretation of Cardiotocography: A Comparative Study with Automated Method and Established Guideline Using Statistical Analysis;SN Computer Science;2020-05

5. Ensemble based technique for the assessment of fetal health using cardiotocograph – a case study with standard feature reduction techniques;Multimedia Tools and Applications;2020-04-10

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