Diagnosis Method for Lung Disease Based on Breath Interval Extraction

カテゴリ: 部門大会

論文No: SS3-3

グループ名: 【C】平成28年電気学会電子・情報・システム部門大会講演論文集

発行日: 2016/08/31

タイトル(英語): Diagnosis Method for Lung Disease Based on Breath Interval Extraction

著者名: 中川 佑紀(東京電機大学),和田 成夫(東京電機大学)

著者名(英語): Yuki Nakagawa|Shigeo Wada

キーワード: 肺疾患|呼気解析|主成分分析法|線形判別法|自動診断肺音特徴抽出|Lung Disease|Breath Analysis|Principal Component Analysis|Linear Discriminant Analysis|Automatic DiagnosisLung Sound Feature Extraction

要約(日本語): In this paper, we propose a PCA-LDA based diagnosis method for lung disease based on breath interval extraction. We have extended our previous approach to multiple lung disease case. Three types of lung diseases are assumed.We evaluated diagnosis performance compared with conventional approaches such as MFCC-GMM and PCA-SVM based methods. Our method showed efficacy with respect to diagnosis accuracy and computational efficiency in simulations.

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