Usage of Turbine Airflow Sensor in Ventilator

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

Objective To reduce errors in measuring of the Tidal Volume of Ventilator by Turbine Airflow Sensor. Methods Describe the construction and principle and feature and discussed the flowrate characteristics of turbine airflow sensor, indicate that there is inertia at working by its construction. According to the working feature of Ventilator and analyzing flowrate curve,provide measuring and calibrating method of Tidal Volume of Ventilator. Results Improving the measuring accuracy by adjusting quantity of the Sensor pulse and measuring subsection of the capability coefficient. Conclusion The method is effective to reduce errors in measuring of the Tidal Volume and be inspected and verified well in product development.

Keywords

Turbine airflow sensor Ventilator Vidal volume Capability coefficient 

References

  1. 1.
    Yu H, Wei H (2003) Ventilator intelligentized machinery ventilation. China Med Instr Mag 27(1):47–50Google Scholar
  2. 2.
    Yang D, Liu M (2004) Medical airflow sensor technical characteristic as well as in ventilator application. China Med Equip 1(13):42–43Google Scholar
  3. 3.
    Fan X, Tao S, Xue X (2003) New airflow sensor on Ventilator application. Shandong Univ Sci Technol Nat Sci 17(2):72–75Google Scholar
  4. 4.
    Lin H, Lin K (2005) Gas flowrate sensor structure, principle and in ventilator application. Med Equip 18(3):24–25Google Scholar
  5. 5.
    Fang G, Chen X (2004) Yang tiande ohmeda anaesthesia ventilator tidal volume error the influence factor analysis. Chinese Med Equip J 06:47–48Google Scholar
  6. 6.
    Yu S (2000) Modern mechanical ventilation monitoring and clinical application. China Union Medical University Press, Beijing, p 41Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.College of EngineeringZhengzhou University ZhengzhouZhengzhouChina

Personalised recommendations