Time series and mel frequency analyses of wet and dry cough signals: A neural net classification-Reference-Cited by-同舟云学术

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Time series and mel frequency analyses of wet and dry cough signals: A neural net classification

Published:2023-09 Issue: Volume:626 Page:129039
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Renjini Ammini,Swapna Mohanachandran Nair Sindhu,Satheesh Kumar Krishnan Nair,Sankararaman Sankaranarayana Iyer^ORCID

Publisher

Elsevier BV

Subject

Statistical and Nonlinear Physics,Statistics and Probability

Reference27 articles.

1. The coughing child: Etiology and treatment of a common symptom;Cloutier;Post Grad. Med.,1983

2. Automated algorithm for wet/dry cough sounds classification;Abeyratne,2012

3. The spectral analysis of cough sounds in childhood respiratory illness;Dawson;J. Paediatr. Child Health,1991

4. Coronavirus disease (COVID-19);World Health Organization,2020

5. Nonlinear time series and principal component analyses: Potential diagnostic tools for COVID-19 auscultation;Raj;Chaos Solitons Fractals,2020

Cited by 1 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. Advancing Cough Classification: Swin Transformer vs. 2D CNN with STFT and Augmentation Techniques;Electronics;2024-03-22

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