Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Estimation and Implementation of the Uroflowmetry Using Load Cell

로드셀을 이용한 요류검사기의 구현 및 평가

  • Jeong, Do-Un (Dept. of Interdisciplinary Program in Biomedical Engineering, Pusan National University) ;
  • Cho, Seong-Taek (Dept. of Interdisciplinary Program in Biomedical Engineering, Pusan National University) ;
  • Nam, Ki-Gon (Dept. of Electronic Engineering, College of Engineering, Pusan National University) ;
  • Chung, Moon-Kee (Dept. of Urology, College of Medicine, Pusan National University) ;
  • Jeon, Gye-Rok (Dept. of Biomedical Engineering, College of Medicine, Pusan National University)
  • 정도운 (부산대학교 대학원 의공학협동과정) ;
  • 조성택 (부산대학교 대학원 의공학협동과정) ;
  • 남기곤 (부산대학교 공과대학 전자공학과) ;
  • 정문기 (부산대학교 의과대학 비뇨기과학교실) ;
  • 전계록 (부산대학교 의과대학 의공학교실)
  • Published : 2004.11.30
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Abstract

In this study, a uroflowmetry system was developed to detect a voiding symptom conveniently at home or hospital. A implemented hardware was composed of mechanism and system circuit part, the software was developed to process uroflow data, graph display, extraction of parameter, and evaluation of congregate rate so as to analysis obtaining uroflow data. The following experiment was performed to evaluate an ability of classification and fitness. The curve pattern of uroflow was classified into each symptom. Various parameters were calculated in the curve pattern of each uroflow as follows. The parameters are MFR, AFR, VOL, VT, and FT. A significant difference among parameters was examined by a statistical analysis for extracted parameters between normal and abnormal experimental group. The uroflow data with the various symptom was divided into normal and abnormal group using fuzzy classifier. The result of the fuzzy classification using MFR and AFR was superior by 91.23 % than grouping evaluation including VOL.

Keywords

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