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와류 현상을 이용하는 호흡기류센서

Respiratory air Flow Transducer Based on air Turbulence

  • 김경아 (충북대학교 의과대학 의공학교실) ;
  • 이인광 (충북대학교 의과대학 의공학교실) ;
  • 박준오 (충북대학교 의과대학 의공학교실) ;
  • 이수옥 (대전보건대학 치위생과) ;
  • 신은영 (충북대학교 의과대학 생화학교실) ;
  • 김윤기 (부산대학교 공과대학 기계공학부) ;
  • 김경천 (부산대학교 공과대학 기계공학부) ;
  • 차은종 (충북대학교 의과대학 의공학교실)
  • Kim, Kyung-Ah (Department of Biomedical Engineering, School of Medicine, Chungbuk National University) ;
  • Lee, In-Kwang (Department of Biomedical Engineering, School of Medicine, Chungbuk National University) ;
  • Park, Jun-Oh (Department of Biomedical Engineering, School of Medicine, Chungbuk National University) ;
  • Lee, Su-Ok (Department of Dental Hygiene, Daejeon Health Sciences College) ;
  • Shin, Eun-Young (Department of Biochemistry, School of Medicine, Chungbuk National University) ;
  • Kim, Yoon-Kee (School of Mechanical Engineering, Pusan National University) ;
  • Kim, Kyung-Chun (School of Mechanical Engineering, Pusan National University) ;
  • Cha, Eun-Jong (Department of Biomedical Engineering, School of Medicine, Chungbuk National University)
  • 발행 : 2009.10.31

초록

The present study developed a new technique with no physical object on the flow stream but enabling the air flow measurement and easily incorporated with the devices for cardiopulmonary resuscitation(CPR) procedure. A turbulence chamber was formed in the middle of the respiratory tube by locally enlarging the cross-sectional area where the flow related turbulence was generated inducing energy loss which was in turn converted into pressure difference. The turbulence chamber was simply an empty enlarged air space, thus no physical object existed on the flow stream, but still the flow rate could be evaluated. Computer simulation demonstrated stable turbulence formation big enough to measure. Experiment was followed on the proto-type transducer, the results of which were within ${\pm}5%$ error compared to the simulation data. Both inspiratory and expiratory flows were obtained with symmetric measurement characteristics. Quadratic curve fitting provided excellent calibration formula with a correlation coefficient>0.999(P<0.0001) and the mean relative error<1%. The present results can be usefully applied to accurately monitor the air flow rate during CPR.

키워드

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