Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
권호 표지
DOI QR코드

DOI QR Code

Design and Experiment of a Micro Electronic System for Prediction of Alveolar-Gas Partial Pressures

  • Kim, Da-Jung (School of Mechanical, Aerospace and Systems Engineering, Korea Advanced Institute of Science and Technology) ;
  • Chang, Keun-Shik (School of Mechanical, Aerospace and Systems Engineering, Korea Advanced Institute of Science and Technology) ;
  • Kim, Sa-Ji (School of Mechanical, Aerospace and Systems Engineering, Korea Advanced Institute of Science and Technology) ;
  • Park, Hye-Yun (Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine) ;
  • Suh, Gee-Young (Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine)
  • Received : 2010.01.27
  • Accepted : 2010.04.12
  • Published : 2010.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this study we have designed and fabricated an inexpensive micro electronic system that we call Alvitek. It can indirectly but accurately predict and display the partial pressures of alveolar oxygen and carbon dioxide for the patients in the ICU of a hospital. Alvitek consists of both hardware part and software part. Performance of the system is tested by animal experiment with pigs for various $F_{t}e_{2}$ and RR(Respiratory Rate) values under the mechanical ventilation. The predicted alveolar gas partial pressures are cprpared with the approximate alveolar oxygen partial pressures easily calculated by the physician’s bedside formula. As a result, we have concluded that the relative error of A-$aDe_2$ calculated by the bedside formula grows seriously for lower $F_{t}e_{2}$ values. The present prediction method of Alvitek is henceforth believed very meaningful to the physicians. The system hardware and software are described in the text.

Keywords

References

  1. Hwang. Bae, A minimally invasive Prediction Method for Respiratory Gas Partial Pressure of Alveoli and Mixed Venous Blood, Daejeon, Korea: Ph.D. thesis, KAIST, 2008.
  2. Robert E. St. John, RN, RRT, MSN, "End-Tidal Carbon Dioxide Monitoring," Critical Care nurse., vol. 23, no 4, pp83-88, 2003.
  3. TMS320F28335, TMS320F28334, TMS320F28332 Digital Signal Controller Data Manual: Texas Instruments, 2007.
  4. T. H. Clutton-Brock, "The evaluation of a new intravascular blood gas monitoring system in the pig," Journal of clinical monitoring., vol, 10, no 6, pp.387-391, 1994. https://doi.org/10.1007/BF01618420
  5. D. G. Markhorst, "A system for integrated measurement of ventilator settings, lung volume change and blood gases during high-frequency oscillatory ventilation," Journal of medical engineering & Technology., vol. 27, no.3, pp.128-132, 2003. https://doi.org/10.1080/03091900110114389