Hybrid Spectrogram for the Automatic Respiratory Sound Classification with Group Time Frequency Attention Network-Reference-Cited by-同舟云学术

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Hybrid Spectrogram for the Automatic Respiratory Sound Classification with Group Time Frequency Attention Network

Published:2023-08-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)
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Author:

Chu Yun¹,Wang QiuHao²,Zhou EnZe³,Zheng Gang⁴,Liu Qian²

Affiliation:

1. Hainan University,School of Information and Communication,Haikou,China

2. Hainan University,School of BioMedical Engineering,Haikou,China

3. Huazhong University of Science and Technology,School of BioMedical Engineering,Wuhan,China

4. Huazhong University of Science and Technology,School of Electronic Information and Communications,Wuhan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330801/10331922/10332031.pdf?arnumber=10332031

Reference28 articles.

1. Association between asthma, chronic bronchitis, emphysema, chronic obstructive pulmonary disease, and lung cancer in the US population

2. WHO global progress report on tuberculosis elimination

3. Early antibiotic therapy is associated with a lower probability of successful liberation from mechanical ventilation in patients with severe acute exacerbation of chronic obstructive pulmonary disease

4. Fundamentals of Lung Auscultation

5. Automatic adventitious respiratory sound analysis: A systematic review

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