マハラノビスタグチ法を用いた心音異常の検出

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2020/02/01

タイトル(英語): Abnormal Heart Sounds Detection using Mahalanobis-Taguchi Method

著者名: 田頭　瑞萌（脳神経センター 大田記念病院），中川　隆文（徳島文理大学）

著者名(英語): Mizuho Tagashira (Brain Attack Center Ota Memorial Hospital), Takafumi Nakagawa (Tokushima Bunri University, Health and Welfare Department)

キーワード: MT法，心音異常，マハラノビスの距離　　Mahalanobis-Taguchi method，abnormal heart sound，mahalanobis distance

要約(英語): Detecting abnormal heart sounds through auscultation is a necessary part of diagnosing heart disease. This paper presents a method for detecting abnormal heart sounds using the Mahalanobis-Taguchi Method. Six features of heart sounds are selected to find changes in cardiac activity. Reference data are created based on these six features calculated from normal cardiac sounds. Mahalanobis distance (MD) from the reference data is used as a measure to estimate abnormalities. The effectiveness of this method is evaluated with 24 clinical cases and yielding correct results in 100% for cardiac murmur except abnormal heart sounds with extra heartbeats. This method may also be used to find a symptom of heart disease by monitoring the trend of MD values in everyday healthcare management.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.140 No.2 （2020）　特集：エネルギーデータを対象としたIoT，AI活用技術

本誌掲載ページ: 204-211 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/140/2/140_204/_article/-char/ja/