Paper Abstract and Keywords |
Presentation |
2021-03-16 15:00
Automatic Classification of Respiratory Sounds using HPSS Yuki Marubashi, Tohru Kamiya (KIT), Shingo Mabu (YU), Shoji Kido (OU) MI2020-77 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a new automatic classification method of respiratory sounds to support the diagnosis of respiratory diseases on auscultation. In the proposed method, respiratory sound data is converted into a spectrogram image by applying the short-time Fourier transform. Then, we apply HPSS (Harmonic/Percussive Sound Separation) algorithm to the respiratory sound spectrogram to separate it into a harmonic spectrogram and a percussive spectrogram. The three generated spectrograms are used for classification of respiratory sounds by CNN (Convolutional Neural Network) and SVM (Support Vector Machine) classifiers. Our proposed method obtained superior classification performance compared to the case without applying HPSS. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Respiratory Sounds / Computer Aided Diagnosis / Short-Time Fourier Transform / Harmonic/Percussive Sound Separation / Deep Learning / CNN / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 431, MI2020-77, pp. 128-133, March 2021. |
Paper # |
MI2020-77 |
Date of Issue |
2021-03-08 (MI) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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MI2020-77 |
Conference Information |
Committee |
MI |
Conference Date |
2021-03-15 - 2021-03-17 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Medical Imaging |
Paper Information |
Registration To |
MI |
Conference Code |
2021-03-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Automatic Classification of Respiratory Sounds using HPSS |
Sub Title (in English) |
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Keyword(1) |
Respiratory Sounds |
Keyword(2) |
Computer Aided Diagnosis |
Keyword(3) |
Short-Time Fourier Transform |
Keyword(4) |
Harmonic/Percussive Sound Separation |
Keyword(5) |
Deep Learning |
Keyword(6) |
CNN |
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1st Author's Name |
Yuki Marubashi |
1st Author's Affiliation |
Kyushu Institute of Technology (KIT) |
2nd Author's Name |
Tohru Kamiya |
2nd Author's Affiliation |
Kyushu Institute of Technology (KIT) |
3rd Author's Name |
Shingo Mabu |
3rd Author's Affiliation |
Yamaguchi University (YU) |
4th Author's Name |
Shoji Kido |
4th Author's Affiliation |
Osaka University (OU) |
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Speaker |
Author-1 |
Date Time |
2021-03-16 15:00:00 |
Presentation Time |
15 minutes |
Registration for |
MI |
Paper # |
MI2020-77 |
Volume (vol) |
vol.120 |
Number (no) |
no.431 |
Page |
pp.128-133 |
#Pages |
6 |
Date of Issue |
2021-03-08 (MI) |
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