三次元座標に基づく睡眠中の体動検知および呼吸推定

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: 2024/07/01

タイトル(英語): Detection of Body Movement and Estimation of Breathing During Sleep Based on 3D Coordinates

著者名: 小谷　龍雅（鳥取大学大学院持続性社会創生科学研究科），櫛田　大輔（鳥取大学工学部電気情報系学科（クロス情報科学研究センター））

著者名(英語): Ryuga Kodani (Graduate School of Sustainability Science, Tottori University), Daisuke Kushida (Electrical Engineering and Computer Science, Faculty of Engineering (Cross-Informatics Research Center), Tottori University)

キーワード: 呼吸推定，Depthカメラ，三次元座標，体動検知，周波数解析　　respiration estimation，Depth camera，3D coordinates，body movement detection，frequency analysis

要約(英語): Sleep apnea syndrome (SAS) is a disease that causes apnea during sleep, and since it correlates with lifestylerelated diseases, early detection and early treatment are important. Polysomnography (PSG) is generally used for the definitive diagnosis of SAS, however, since various devices are attached to the patient, the effect of observer effect is inevitable. In addition, since the disease occurs during sleep, it is difficult to be aware of it, and as a result, it is estimated that 15% of potential patients do not undergo PSG. This paper proposes a simple, noncontact and non-constraint respiration estimation method using Depth data, which is distance information obtained by a Depth camera and recorded in a two-dimensional plane. Frequency analysis of the Depth values is used to detect the subject's position, breathing frequency, and body motion, and it is confirmed that the method can estimate respiration while continuously tracking the subject, even if the sleeping posture changes.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.144 No.7 （2024） 特集：2023年電子・情報・システム部門大会

本誌掲載ページ: 608-614 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/144/7/144_608/_article/-char/ja/