Adopting artificial intelligence algorithms for remote fetal heart rate monitoring and classification using wearable fetal phonocardiography-Reference-Cited by-同舟云学术

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Adopting artificial intelligence algorithms for remote fetal heart rate monitoring and classification using wearable fetal phonocardiography

Published:2024-11 Issue: Volume:165 Page:112049
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Abburi Radha^ORCID,Hatai Indranil^ORCID,Jaros Rene^ORCID,Martinek Radek,Babu Thirunavukkarasu Arun^ORCID,Babu Sharmila Arun^ORCID,Samanta Sibendu^ORCID

Funder

Ministry of Education

European Geosciences Union

VSB–Technical University of Ostrava

Publisher

Elsevier BV

Reference47 articles.

1. A review of fetal cardiac monitoring, with a focus on low- and middle-income countries;Valderrama;Physiol. Meas.,2020

2. A wireless high-sensitivity fetal heart sound monitoring system;Wei;Sensors,2020

3. Application and clinical analysis of remote fetal heart rate monitoring platform in continuous fetal heart rate monitoring images;Yang;J. Healthc. Eng.,2021

4. Does training in intrapartum fetal monitoring actually work?;Small;BJOG: Int. J. Obstet. Gynaecol.,2021

5. Automatic fetal movement recognition from multi-channel accelerometry data;Mesbah;Comput. Methods Programs Biomed.,2021

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