Sparse representation of audio features for sputum detection from lung sounds

Tatsuya Yamashita, Satoshi Tamura, Kenji Hayashi, Yutaka Nishimoto, Satoru Hayamizu

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

A medical staff needs to check sputum accumulation in patient's respiratory tract by lung sounds auscultation at any time, and it is the big burden for the staff. This paper aims to develop a system which notifies appropriate timing for the tracheal suction for the medical staff by analyzing lung sounds of the patients. We present a novel framework about automatic sputum detection from lung sounds. We proposed the sparse representation of audio features to realize robust detection in real environment. We showed the effectiveness of our proposed method for three patients in an ICU of Gifu University Hospital, where the recorded lung sounds included electronic beeps, human voices, and other various noises.

本文言語English
ホスト出版物のタイトルICPR 2012 - 21st International Conference on Pattern Recognition
ページ2005-2008
ページ数4
出版ステータスPublished - 2012
外部発表はい
イベント21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
継続期間: 2012 11 112012 11 15

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
ISSN(印刷版)1051-4651

Conference

Conference21st International Conference on Pattern Recognition, ICPR 2012
国/地域Japan
CityTsukuba
Period12/11/1112/11/15

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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