| Presentation | 2016-01-18 Abnormal Respiratory Sound Detection for Auscultatory Sound Using Wavelet Transform Yuka Yokota, Keita Uchida, Masahiro Fukumoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Wavelet transform / Electronic stethoscope / Abnormal respiratory sound |
| Paper # | IT2015-62,SIP2015-76,RCS2015-294 |
| Date of Issue | 2016-01-11 (IT, SIP, RCS) |
| Conference Information | |
| Committee | RCS / IT / SIP |
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| Conference Date | 2016/1/18(2days) |
| 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. |
| Chair | Makoto Taromaru(Fukuoka Univ.) / Yasutada Oohama(Univ. of Electro-Comm.) / Osamu Houshuyama(NEC) |
| Vice Chair | Hidekazu Murata(Kyoto Univ.) / Satoshi Denno(Okayama Univ.) / Yukitoshi Sanada(Keio Univ.) / Tadashi Wadayama(Nagoya Inst. of Tech.) / Makoto Nakashizuka(Chiba Inst. of Tech.) / Masahiro Okuda(Univ. of Kitakyushu) |
| Secretary | Hidekazu Murata(Mitsubishi Electric) / Satoshi Denno(NTT DoCoMo) / Yukitoshi Sanada(Univ. of Electro-Comm.) / Tadashi Wadayama(Wakayama Univ.) / Makoto Nakashizuka(NEC) / Masahiro Okuda(Ritsumeikan Univ.) |
| Assistant | Jun Mashino(NTT) / Tetsuya Yamamoto(Panasonic) / Takamichi Inoue(NEC) / Tomoya Tandai(Toshiba) / Toshihiko Nishimura(Hokkaido Univ.) / Takuya Kusaka(Okayama Univ.) / Takamichi Miyata(Chiba Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Information Theory / Technical Committee on Signal Processing |
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| Language | JPN |
| 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) | |
| Keyword(1) | Wavelet transform |
| Keyword(2) | Electronic stethoscope |
| Keyword(3) | Abnormal respiratory sound |
| 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 |
| 3rd Author's Affiliation | Kochi University of Technology(Kochi Univ. of Tech.) |
| Date | 2016-01-18 |
| Paper # | IT2015-62,SIP2015-76,RCS2015-294 |
| Volume (vol) | vol.115 |
| Number (no) | IT-394,SIP-395,RCS-396 |
| Page | pp.pp.85-89(IT), pp.85-89(SIP), pp.85-89(RCS), |
| #Pages | 5 |
| Date of Issue | 2016-01-11 (IT, SIP, RCS) |