Automated Severity Detection Of Chronic Obstructive Pulmonary Disease Using Lung Sounds
Author:
Affiliation:
1. Indian Institute of Technology Patna,Department of Electrical Engineering,Patna,Bihar,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10038981/10039721/10040031.pdf?arnumber=10040031
Reference27 articles.
1. COPD severity classification using principal component and cluster analysis on HRV parameters
2. An alternative respiratory sounds classification system utilizing artificial neural networks
3. Deep learning with 3D-second order difference plot on respiratory sounds
4. Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease
5. An artificial intelligence approach to early predict symptom-based exacerbations of COPD
Cited by 2 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. ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds;2024 International Conference on Signal Processing and Communications (SPCOM);2024-07-01
2. A Novel Multi-Head Self-Organized Operational Neural Network Architecture for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
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