画像処理による模擬排尿の流脈線からの流量推定アルゴリズム

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: 2016/08/01

タイトル(英語): Flow Estimation Algorithm from Simulated Urination by Image Processing

著者名: 磯村　淳（愛知県立大学 大学院情報科学研究科），河中　治樹（愛知県立大学 大学院情報科学研究科），渡邉　英一（藤田保健衛生大学 循環器内科），小栗　宏次（愛知県立大学 大学院情報科学研究科）

著者名(英語): Atsushi Isomura (Graduate School of Information Science and Technology, Aichi Prefectural University), Haruki Kawanaka (Graduate School of Information Science and Technology, Aichi Prefectural University), Eiichi Watanabe (Department of Cardiology, Fujita Health University), Koji Oguri (Graduate School of Information Science and Technology, Aichi Prefectural University)

キーワード: 循環器系疾患，入院患者，尿量管理，画像処理，流量推定　　Cardiovascular disease，Inpatients，Urine Volume Management，Image Processing，Flow Estimation

要約(英語): Inpatients of circulatory system disease must manage their urine volume every day since they have low ability to control fluid balance inside their bodies. In most hospitals, measuring cups are used which lead to nosocomial infection. Our study propose a new method of urine volume estimation without using a cup. We propose multiple cylindrical model to estimate the amount of liquid volume from images taken by a monocular camera. This model is based on the idea of calculating the total volume of cylinder extracted from each image. First, images of liquid simulating male urination are binarized to derive features for the model. Each volume of cylinder is calculated by the initial velocity and diameter of liquid in each image. We conducted experiments to evaluate the model. As a result, we suggest that this model could be a new way of urine volume management for inpatients.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.8 （2016） 特集Ⅰ：知能メカトロニクス分野と連携する知覚情報技術　特集Ⅱ：国際会議ICESS 2015

本誌掲載ページ: 1194-1199 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/136/8/136_1194/_article/-char/ja/