Automatic Identification of Abnormal Lung Sounds Using Time-Frequency Analysis and Convolutional Neural Network-Reference-Cited by-同舟云学术

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Automatic Identification of Abnormal Lung Sounds Using Time-Frequency Analysis and Convolutional Neural Network

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE)
language:
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Author:

Phettom Rattanathon¹,Theera-Umpon Nipon²,Auephanwiriyakul Sansanee²

Affiliation:

1. Biomedical Engineering Institute, Chiang Mai University, Graduated School, Chiang Mai University Chiang Mai,Thailand

2. Biomedical Engineering Institute, Chiang Mai University, Chiang Mai University,Department of Electrical Engineering,Chiang Mai,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317623/10317639/10317776.pdf?arnumber=10317776

Reference24 articles.

1. Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): Initial Reliability and Validity Data

2. Digital Spectrum Analysis of Respiratory Sound

3. A support vector method for multivariate performance measures

4. A new versatile PC-based lung sound analyzer with automatic crackle analysis (HeLSA); repeatability of spectral parameters and sound amplitude in healthy subjects

5. Localizing Heart Sounds in Respiratory Signals Using Singular Spectrum Analysis

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. Classification and Recognition of Lung Sounds Based on Improved Bi-ResNet Model;IEEE Access;2024

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