口内画像取得と画像認識を用いた服薬記録システム

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: 2024/03/01

タイトル(英語): Medication Recording System Using Oral Image Acquisition and Image Recognition

著者名: 匡　徳帥（東北大学大学院医工学研究科），鶴岡　典子（東北大学大学院工学研究科），芳賀　洋一（東北大学大学院医工学研究科／東北大学大学院工学研究科）

著者名(英語): Deshuai Kuang (Graduate School of Biomedical Engineering, Tohoku University), Noriko Tsuruoka (Graduate School of Engineering, Tohoku University), Yoichi Haga (Graduate School of Biomedical Engineering, Tohoku University/Graduate School of Engineering, Tohoku University)

キーワード: 服薬記録，コップ型デバイス，口内画像，AI画像認識，服薬管理アプリ　　medication recording，cup-shaped device，intraoral picture，AI image recognition，medication Andriod application

要約(英語): In the aging society, especially those with eye diseases, often forget to take medicine or take wrong medicine. In the new drug approval process, objective and accurate medication records have become very important. To improve the reliability of medication recording, we have been developing a cup-shaped medication recording device by taking intraoral pictures. This device has a camera with a wireless transmitter and a rechargeable battery in the cup. To recognize oral medicine accurately, we used AI image recognition technology. We selected four representative drugs (500 images for each) for testing, and the recognition accuracy can reach more than 90%. While ensuring the recognition accuracy, we achieved real-time detection, which can reach the detection speed of 16 frames per second on smartphones. In addition, an Android application based on AI image recognition has been developed that is easier to use. The medication management application was equipped with image acquisition, image recognition, medication recording, forgetting of medication, and caution for wrong medication.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.144 No.3 （2024） 特集Ⅰ：スマートシステムと計測・制御技術　特集Ⅱ：シリコンならびにワイドバンドギャップパワー半導体の最新技術

本誌掲載ページ: 276-282 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/144/3/144_276/_article/-char/ja/