Content-based classification of breath sound with enhanced features
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference41 articles.
1. Clinical case review: a method to improve identification of true clinical and radiographic pneumonia in children meeting the World Health Organization definition for pneumonia;Puumalainen;BMC Infect. Dis.,2008
2. Fast breathing in the diagnosis of pneumonia – a reassessment;Gupta;J. Trop. Pediatr.,1996
3. Automatic breath and snore sounds classification from tracheal and ambient sounds recordings;Yadollahi;Med. Eng. Phys.,2010
4. Detection of clinical depression in adolescents’ speech during family interactions;Low;IEEE Trans. Biomed. Eng.,2011
5. Automatic and unsupervised snore sound extraction from respiratory sound signals;Azarbarzin;IEEE Trans. Biomed. Eng.,2011
Cited by 35 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. Wave2Graph: Integrating spectral features and correlations for graph-based learning in sound waves;AI Open;2024
2. Numerical Simulation of Airflow and the Aero-Acoustic Noises in Pulmonary Airways Under Different Breathing Conditions;2023
3. PhysioVec: A Multi-stage Deep-Learning Framework for Searching Online Health Information with Breath Sound;2022 IEEE 5th International Conference on Big Data and Artificial Intelligence (BDAI);2022-07-08
4. Real time detection and forecasting technique for asthma disease using speech signal and DENN classifier;Biomedical Signal Processing and Control;2022-07
5. Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey;Informatics in Medicine Unlocked;2022
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