Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption

Published:2020-06 Issue: Volume:392 Page:153-159
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Xiao Bin,Xu Yunqiu,Bi Xiuli,Zhang Junhui,Ma Xu

Funder

National Science & Technology Major Project

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference44 articles.

1. A cardiac sound characteristic waveform method for in-home heart disorder monitoring with electric stethoscope;Jiang;Expert Syst. Appl.,2006

2. Monitoring cardiac stress using features extracted from S1 heart sounds;Herzig;IEEE Trans. Biomed. Eng.,2015

3. Logistic regression-HSMM-based heart sound segmentation;Springer;IEEE Trans. Biomed. Eng.,2016

4. Classification of heart sound recordings using convolution neural network;Ryu,2016

5. Normal / abnormal heart sound recordings classification using convolutional neural network;Nilanon,2016

Cited by 98 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. Heart sound diagnosis method based on multi-domain self-learning convolutional computation;Biomedical Signal Processing and Control;2024-08

2. A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era;IEEE Computational Intelligence Magazine;2024-08

3. Identifying pediatric heart murmurs and distinguishing innocent from pathologic using deep learning;Artificial Intelligence in Medicine;2024-07

4. Enhanced Phonocardiogram Classification Performance through Outlier Detection;2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2024-06-26

5. Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D;Sensors;2024-05-28

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