Paper Abstract and Keywords |
Presentation |
2016-01-18 11:50
Abnormal Respiratory Sound Detection for Auscultatory Sound Using Wavelet Transform Yuka Yokota, Keita Uchida, Masahiro Fukumoto (Kochi Univ. of Tech.) IT2015-62 SIP2015-76 RCS2015-294 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
An electronic stethoscope with the recording function of the auscultatory sound has been used in the field of the home-vist nursing with digitalization of medical equipment. In addition, electronic stethoscope has transmission function of the recorded auscultatory sound. Therefore, it is possible to request the diagnosis of auscultatory sounds which are trasmitted to the doctor in the hospital. However, it takes a long time to diagnose all auscultatory sounds transmitted. For the reason, it takes more time to return diagnosis result to the patient. For this problem, it is possible to shorten the time until the diagnosis by detecting the possibility of abnormal respiratory sound using the abnormal respiratory sound automatic detection system in the field home-visit nursing. In this paper, we propose a method of detecting the feature of the abnormal respiratory sound using wavelet transform. In the proposed method, we have detected feature of abnormal respiratory sound using the distribution of the wavelet coefficients of the normal respiratory sound and the abnormal respiratory sound. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Wavelet transform / Electronic stethoscope / Abnormal respiratory sound / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 395, SIP2015-76, pp. 85-89, Jan. 2016. |
Paper # |
SIP2015-76 |
Date of Issue |
2016-01-11 (IT, SIP, RCS) |
ISSN |
Print edition: ISSN 0913-5685 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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IT2015-62 SIP2015-76 RCS2015-294 |
Conference Information |
Committee |
RCS IT SIP |
Conference Date |
2016-01-18 - 2016-01-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kwansei Gakuin Univ. Osaka Umeda Campus |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Signal Processing for Wireless Communications, Learning, Mathematical Science, Communication Theory, etc. |
Paper Information |
Registration To |
SIP |
Conference Code |
2016-01-RCS-IT-SIP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Abnormal Respiratory Sound Detection for Auscultatory Sound Using Wavelet Transform |
Sub Title (in English) |
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Wavelet transform |
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Electronic stethoscope |
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Abnormal respiratory sound |
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1st Author's Name |
Yuka Yokota |
1st Author's Affiliation |
Kochi University of Technology (Kochi Univ. of Tech.) |
2nd Author's Name |
Keita Uchida |
2nd Author's Affiliation |
Kochi University of Technology (Kochi Univ. of Tech.) |
3rd Author's Name |
Masahiro Fukumoto |
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Kochi University of Technology (Kochi Univ. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2016-01-18 11:50:00 |
Presentation Time |
25 minutes |
Registration for |
SIP |
Paper # |
IT2015-62, SIP2015-76, RCS2015-294 |
Volume (vol) |
vol.115 |
Number (no) |
no.394(IT), no.395(SIP), no.396(RCS) |
Page |
pp.85-89 |
#Pages |
5 |
Date of Issue |
2016-01-11 (IT, SIP, RCS) |
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