TY - GEN
T1 - Automatic auscultation classification of abnormal lung sounds in critical patients through deep learning models
AU - Wu, Yu Sheng
AU - Liao, Chia Hung
AU - Yuan, Shyan Ming
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/8/21
Y1 - 2020/8/21
N2 - This research aims to use the output signals of a stethoscope and classify them through deep learning models automatically. In this research, the dataset consists of four classes, normal, wheezing, crackles, and unknown are used. To effectively classify each signal, we use the spectrogram generated by the short-time fast Fourier transform as the feature value of each lung sound signal and found the best parameters to do model selection. Besides, we also adopt Depthwise separable (DS) convolution technic, and refer to the architecture of Mobile-Net, to achieve the purpose of high accuracy and low model parameters.
AB - This research aims to use the output signals of a stethoscope and classify them through deep learning models automatically. In this research, the dataset consists of four classes, normal, wheezing, crackles, and unknown are used. To effectively classify each signal, we use the spectrogram generated by the short-time fast Fourier transform as the feature value of each lung sound signal and found the best parameters to do model selection. Besides, we also adopt Depthwise separable (DS) convolution technic, and refer to the architecture of Mobile-Net, to achieve the purpose of high accuracy and low model parameters.
KW - Adventitious lung sound
KW - Auscultations
KW - Convolutional neural network
KW - Deep learning
KW - Feature extraction
UR - http://www.scopus.com/inward/record.url?scp=85100549784&partnerID=8YFLogxK
U2 - 10.1109/ICKII50300.2020.9318880
DO - 10.1109/ICKII50300.2020.9318880
M3 - Conference contribution
AN - SCOPUS:85100549784
T3 - Proceedings of the 3rd IEEE International Conference on Knowledge Innovation and Invention 2020, ICKII 2020
SP - 9
EP - 11
BT - Proceedings of the 3rd IEEE International Conference on Knowledge Innovation and Invention 2020, ICKII 2020
A2 - Meen, Teen-Hang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Conference on Knowledge Innovation and Invention, ICKII 2020
Y2 - 21 August 2020 through 23 August 2020
ER -