Performance comparison of lung sound classification using various convolutional neural networks

Gee Yeun Kim; Hyoung-Gook Kim

doi:10.7776/ASK.2019.38.5.568

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2019 Vol.38, Issue 5 Preview Page Next Page

Research Article

Performance comparison of lung sound classification using various convolutional neural networks 다양한 합성곱 신경망 방식을 이용한 폐음 분류 방식의 성능 비교

30 September 2019. pp. 568-573

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Abstract

In the diagnosis of pulmonary diseases, auscultation technique is simpler than the other methods, and lung sounds can be used for predicting the types of pulmonary diseases as well as identifying patients with pulmonary diseases. Therefore, in this paper, we identify patients with pulmonary diseases and classify lung sounds according to their sound characteristics using various convolutional neural networks, and compare the classification performance of each neural network method. First, lung sounds over affected areas of the chest with pulmonary diseases are collected by using a single-channel lung sound recording device, and spectral features are extracted from the collected sounds in time domain and applied to each neural network. As classification methods, we use general, parallel, and residual convolutional neural network, and compare lung sound classification performance of each neural network through experiments.

Keywords

Lung sound classification

Parallel convolutional neural network

Residual learning

Performance comparison

폐질환 진단에서 청진은 다른 진단 방식에 비해 단순하고, 폐음을 이용하여 폐질환 환자식별뿐 아니라 폐음과 관련된 질병을 예측할 수 있다. 따라서 본 논문에서는 다양한 합성곱 신경방 방식을 기반으로 폐음을 이용하여 폐질환 환자를 식별하고, 소리특성에 따른 폐음을 분류하여 각 신경망 방식의 분류 성능을 비교한다. 먼저 폐질환 소견을 갖는 흉부 영역에서 단채널 폐음 녹음기기를 이용하여 폐음 데이터를 수집하고, 수집된 시간축 신호를 스펙트럼 형태의 특징값으로 추출하여 각 분류 신경망 방식에 적용한다. 폐 사운드 분류 방식으로는 일반적인 합성곱 신경망, 병렬 구조, 잔류학습이 적용된 구조의 합성곱 신경망을 사용하고 실험을 통해 각 신경망 모델의 폐음 분류 성능을 비교한다.

키워드

폐음 분류

병렬 합성곱 신경망

잔류 학습

성능 비교

References

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Information

Publisher :The Acoustical Society of Korea
Publisher(Ko) :한국음향학회
Journal Title :The Journal of the Acoustical Society of Korea
Journal Title(Ko) :한국음향학회지
Volume : 38
No :5
Pages :568-573
Received Date : 2019-04-11
Accepted Date : 2019-06-19
DOI :https://doi.org/10.7776/ASK.2019.38.5.568

The Journal of the Acoustical Society of Korea ISSN:1225-4428(Print) 2287-3775(Online) 한국음향학회지

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