Grand Challenge on Respiratory Sound Classification for SPRSound Dataset-Reference-Cited by-同舟云学术

Grand Challenge on Respiratory Sound Classification for SPRSound Dataset

Published:2022-10-13 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)
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Author:

Zhang Qing¹,Zhang Jing²,Yuan Jiajun³,Huang Huajie¹,Zhang Yuhang¹,Zhang Baoqin⁴,Lv Gaomei⁵,Lin Shuzhu⁶,Wang Na⁷,Liu Xin⁸,Tang Mingyu⁹,Wang Yahua⁹,Ma Hui⁹,Liu Lu⁹,Yuan Shuhua⁹,Zhou Hongyuan¹⁰,Zhao Jian¹,Li Yongfu¹,Yin Yong²,Zhao Liebin³,Wang Guoxing¹,Lian Yong¹

Affiliation:

1. Shanghai Jiao Tong University,Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence,China

2. Shanghai Jiao Tong University School of Medicine,Pediatric AI Clinical Application and Research Center, Shanghai Children’s Medical Center,China

3. Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP),China

4. Taicang Affiliated Hospital of Soochow University,The First People’s Hospital of Taicang,Department of Paediatrics,China

5. Linyi City People Hospital,China

6. Fengcheng Hospital,Department of Paediatrics,China

7. Linyi City Maternal and Child Health Hospital,China

8. Fifth Affiliated Hospital of Harbin Medical University,Department of Pediatrics,China

9. Shanghai Jiao Tong University School of Medicine,Shanghai Children’s Medical Center,Department of Respiratory Medicine,China

10. Shanghai Tuoxiao Intelligent Technology Co., Ltd,China

Funder

Research and Development

Shanghai Municipal Commission of Economy and Informatization

Shanghai Jiao Tong University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9948537/9948538/09948551.pdf?arnumber=9948551

Reference26 articles.

1. Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data

2. CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection

3. Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolutional Neural Networks

4. Automatic acoustic identification of respiratory diseases

5. Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory;fraiwan;Journal of Ambient Intelligence and Humanized Computing,2021

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