Advertisement

Applying the Allan Variance to the Analysis of Errors of the Expiration Volume Measurement Channel of Mechanical Lung Ventilators

  • N. G. LavrovEmail author
  • V. V. Bortsov
  • E. D. Konev
Article
  • 5 Downloads

The expiration volume measurement channel of a mechanical lung ventilator operating at a low rate of gas mixture flow is considered. The channel components are described in detail. The importance of accurate measurement of gas flow at low rates of mechanical ventilation (especially in neonatal medicine) is substantiated. The Allan variance is suggested as a statistical tool for analyzing the measurement channel errors. The obtained Allan variances, their approximations as sums of exponential functions, and estimates of power spectrum density coefficients of zero-signal noise are presented. The obtained estimates of the main components of the channel error are compared with the parameters of the electronic components used in the measurements. Preliminary recommendations for reduction of errors of the volume measurement channel are given.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Zislin, B. D. and Chistyakov, A. V., Breathing and Hemodynamics Monitoring under Critical Conditions [in Russian], Triton Electronic Systems, Ekaterinburg (2006).Google Scholar
  2. 2.
    Satishur, O. E., Mechanical Lung Ventilation [in Russian], Meditsinskaya Literatura, Moscow (2006).Google Scholar
  3. 3.
    Solodovnikov, V. V., Statistical Dynamics of Linear Systems of Automatic Control [in Russian], FIZMATGIZ, Moscow (1960).Google Scholar
  4. 4.
    David, W., “Allan conversion of frequency stability measures from the time-domain to the frequency-domain, vice-versa and power-law spectral densities,” January 26, 2012; http://www.allanstime.com/Publications/DWA/Conversion_from_Allan_variance_to_Spectral_Densities.pdf (accessed June 8, 2015).
  5. 5.
    Riley, W. J., Handbook of Frequency Stability Analysis, NIST Special Publication 1065, July 2008; http://tf.nist.gov/timefreq/general/pdf/2220.pdf (accessed June 8 2015).
  6. 6.
    Malkin, Z. M., “Using the Allan variance and its modifications to study time series,” Izv. Glav. Astron. Lab. Pulk., No. 219 (4), 195-198 (2009).Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Triton Electronic Systems, Ltd.EkaterinburgRussia
  2. 2.Krasovsky Institute of Mathematics and MechanicsEkaterinburgRussia
  3. 3.Ural Federal University named after the first President of Russia B.N. YeltsinEkaterinburgRussia

Personalised recommendations