Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation
Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation
Jing-Tong Tzeng
1
, BSc ;
Jeng-Lin Li
2
, PhD ;
Huan-Yu Chen
2
, PhD ;
Chu-Hsiang Huang
3
, MD ;
Chi-Hsin Chen
3
, MD ;
Cheng-Yi Fan
3
, MD ;
Edward Pei-Chuan Huang
3
* , MD ;
Chi-Chun Lee
2
* , PhD
1
College of Semiconductor Research, National Tsing Hua University, Hsinchu, Taiwan
2
Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
3
Department of Emergency Medicine, National Taiwan University Hsin-Chu Hospital, Hsinchu, Taiwan
*these authors contributed equally
Corresponding Author:
-
Chi-Chun Lee, PhD
-
Department of Electrical Engineering
-
National Tsing Hua University
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101, Section 2, Kuang-Fu Road
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Hsinchu, 300
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Taiwan
-
Phone:
886 35162439
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Email: cclee@ee.nthu.edu.tw