Bio-Magneto Sensing and Unsupervised Deep Multiresolution Analysis for Labor Predictions in Term and Preterm Pregnancies-Reference-Cited by-同舟云学术

Bio-Magneto Sensing and Unsupervised Deep Multiresolution Analysis for Labor Predictions in Term and Preterm Pregnancies

Published:2023-11-15 Issue: Volume:6 Page:125
ISSN:
Container-title:The 10th International Electronic Conference on Sensors and Applications
language:
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Author:

Nsugbe Ejay¹,Samuel Oluwarotimi Williams²,Reyes-Lagos Jose Javier³^ORCID,Adams Dawn⁴,Obajemu Olusayo⁵

Affiliation:

1. Nsugbe Research Labs, Swindon SN1 3LG, UK

2. School of Computing and Engineering, University of Derby, Derby DE22 1GB, UK

3. School of Medicine, Autonomous University of Mexico State (UAEMéx), Toluca de Lerdo 50180, Mexico

4. Southern Health and Social Care Trust, Northern Ireland BT63 5QQ, UK

5. Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield S10 2TN, UK

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/58/1/125/pdf

Reference18 articles.

1. Nsugbe, E. (2021). A Cybernetic Framework for Predicting Preterm and Enhancing Care Strategies: A Review. Biomed. Eng. Adv., 2.

2. (2022, August 25). World Health Organization Preterm Birth. Available online: https://www.who.int/news-room/fact-sheets/detail/preterm-birth.

3. Enhancing Care Strategies for Preterm Pregnancies by Using a Prediction Machine to Aid Clinical Care Decisions;Nsugbe;Mach. Learn. Appl.,2021

4. Application of Noninvasive Magnetomyography in Labour Imminency Prediction for Term and Preterm Pregnancies and Ethnicity Specific Labour Prediction;Nsugbe;Mach. Learn. Appl.,2021

5. Prediction of Labor in Term and Preterm Pregnancies Using Non-Invasive Magnetomyographic Recordings of Uterine Contractions;Eswaran;Am. J. Obstet. Gynecol.,2004