Extraction of Morphological, Time domain and Non-linear Features of FHR Signals-Reference-Cited by-同舟云学术

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Extraction of Morphological, Time domain and Non-linear Features of FHR Signals

Published:2022-02-16 Issue: Volume: Page:
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Container-title:2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)
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Author:

Akkanapalli Ushasri¹,Mudigonda Malini¹,Sreeja Samavedam Sai¹,Meghana Koppadi¹

Affiliation:

1. University College of Engineering, Osmania University,Department of Biomedical Engineering,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9768398/9768400/09768509.pdf?arnumber=9768509

Reference13 articles.

1. Clinical significance of short-term variability computed from heart-rate waveforms

2. Assessment of non-linear features for intrapartal fetal heart rate classification

3. Approximate entropy of fetal heart rate variability as a predictor of fetal distress in women at term pregnancy

4. Computerized Algorithm for Fetal Heart Rate Baseline and Baseline Variability Estimation based on Distance Between Signal Average and α Value

5. The future of fetal monitoring;j;Rev Fr Gynecol Obstet,2012

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A deep feature fusion network for fetal state assessment;Frontiers in Physiology;2022-11-30

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