Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
language:
Short-container-title:

Author:

Grooby Ethan¹,Sitaula Chiranjibi¹,Tan Kenneth²,Zhou Lindsay²,King Arrabella²,Ramanathan Ashwin²,Malhotra Atul²,Dumont Guy A.³,Marzbanrad Faezeh¹

Affiliation:

1. Monash University,Department of Electrical and Computer Systems Engineering,Melbourne,VIC,Australia

2. Monash University,Monash Newborn, Monash Children's Hospital,Department of Paediatrics,Melbourne,Australia

3. University British Columbia,Department of Electrical and Computer Engineering,Vancouver,BC,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871449.pdf?arnumber=9871449

Reference15 articles.

1. Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications

2. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

3. CNN architectures for large-scale audio classification

4. Feature Extraction and Classification of Phonocardiograms using Convolutional Neural Networks

5. RUSBoost: Improving classification performance when training data is skewed

Cited by 4 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. Design and Development of Smart Stethoscope with Ai-Assistance;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

2. Deep learning-based lung sound analysis for intelligent stethoscope;Military Medical Research;2023-09-26

3. Digital Stethoscope Use in Neonates: A Systematic Review;Newborn;2023-09-25

4. Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds;IEEE Journal of Biomedical and Health Informatics;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3