대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)

대한전자공학회 (The Institute of Electronics and Information Engineers)
권호 표지

요류검사 시스템의 구현과 요류파라미터의 유용성 평가

Implementation on the Uroflowmetry System and Usefulness Estimation of the Uroflow Parameters

  • 한봉효 (부산대학교 대학원 의공학협동과정) ;
  • 정도운 (부산대학교 대학원 의공학협동과정) ;
  • 김우열 (부산대학교 대학원 의공학협동과정) ;
  • 배진우 (부산대학교 대학원 의공학협동과정) ;
  • 손정만 (부산대학교 대학원 의공학협동과정) ;
  • 김재현 (부산대학교 대학원 의공학협동과정) ;
  • 박준모 (부산대학교 대학원 의공학협동과정) ;
  • 정문기 (부산대학교 의과대학 비뇨기과학교실) ;
  • 전계록 (부산대학교 의과대학 의공학교실)
  • Han, B.H. (Dept. of Interdisciplinary Program in Biomedical Engineering, Pusan National University) ;
  • Jeong, D.U. (Dept. of Interdisciplinary Program in Biomedical Engineering, Pusan National University) ;
  • Kim, U.Y. (Dept. of Interdisciplinary Program in Biomedical Engineering, Pusan National University) ;
  • Bae, J.W. (Dept. of Interdisciplinary Program in Biomedical Engineering, Pusan National University) ;
  • Shon, J.M. (Dept. of Interdisciplinary Program in Biomedical Engineering, Pusan National University) ;
  • Kim, J.H. (Dept. of Interdisciplinary Program in Biomedical Engineering, Pusan National University) ;
  • Park, J.M. (Dept. of Interdisciplinary Program in Biomedical Engineering, Pusan National University) ;
  • Chung, M.K. (Dept. of Urology, College of Medicine, Pusan National University) ;
  • Jeon, G.R. (Dept. of Biomedical Engineering, College of Medicine, Pusan National University)
  • 발행 : 2002.06.01
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초록

In this study, the object is a development on uroflowmetry system to detect a voiding symptom conveniently in home or hospital. The hardware was composed of mechanism and system circuit part, the software was divided into firmware and PC program part. The following experiment was performed to evaluate an ability of classification and fitness. First, the following parameters was calculated in each flow curve pattern. The parameters are MFR, AFR, VOL, VT, FT, and TMF. A significant difference among parameters was examined through a statistical analysis for extracted parameters between normal and abnormal group. In the next work, the following experimentation was performed to classify the voiding symptom. Analysis of congregate rate was examined to find out classification possibility about each symptom of BPH, voiding difficulty, detrusor failure and hyperreflexia, unstable bladder. The uroflow data with the above symptom was divided into normal and abnormal group using fuzzy classifier. and that was performed appending the other group again. Fuzzy classification result using MFR and AFR was superior by 89.6 % more than grouping evaluation including VOL.

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