Exploring the Relationship Between Characteristics of Ventilation Performance and Response of Newborns During Resuscitation

  • Huyen VuEmail author
  • Trygve Eftestøl
  • Kjersti Engan
  • Joar Eilevstjønn
  • Ladislaus Blacy Yarrot
  • Jørgen E. Linde
  • Hege Ersdal
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 574)


Birth asphyxia is one of the leading causes of newborn deaths in low resource settings. In non-breathing newborns, ventilation should commence within the first minute after birth. Ventilation signals were studied and parameterized to reflect the characteristics of the provided ventilation. The effectiveness of ventilation was characterized by changes in Apgar score and heart rate. A framework for exploring the association between ventilation parameters and the effectiveness of ventilation is proposed. A statistical hypothesis test method was used to calculate p-values for different patient groups for some ventilation parameters. The results show some low p-values indicating the possible correlation between the corresponding ventilation parameters and the outcome of the treatment.


Apgar Score Positive Pressure Ventilation Peak Inspiratory Pressure Ventilation Parameter Neonatal Resuscitation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Neonatal Resuscitation: 2010 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations, Resuscitation (2010)Google Scholar
  2. 2.
    Guidelines on basic newborn resuscitation, WHO Library Cataloguing-in-Publication Data, ISBN: 978-92-4-150369-3 (2011)Google Scholar
  3. 3.
    Ciurea, B.M., Palade, D., Kostrakievici, S.: Lung ventilators parameters determination. U.P.B. Sci. Bull. 73(2), 107–120 (2011)Google Scholar
  4. 4.
    Tehrani, F.: Efficient Decision Support Systems - Practice and Challenges in Biomedical Related Domain, Computerized Decision Support Systems for Mechanical Ventilation, ISBN: 978-953-307-258-6 (2011)Google Scholar
  5. 5.
    Schulze, K., Stefanski, M., Soulos, T., Masterson, J., Kim, Y.I., Rey, H.R.: Computer Analysis of Ventilatory Parameters for Neonates on Assisted Ventilation, Engineering in Medicine and Biology Magazine. IEEE, ISSN:0739–5175 (1984)Google Scholar
  6. 6.
    Ramsden, C.A., Reynolds, E.O.: Ventilator settings for newborn infants. Arch. Dis. Child. 62(9), 529–538 (1987)CrossRefGoogle Scholar
  7. 7.
    Perlman, J., Kattwinkel, J., Wyllie, J.: Neonatal resuscitation: in pursuit of evidence gaps in knowledge. Resuscitation 83(5), 545–550 (2012)CrossRefGoogle Scholar
  8. 8.
  9. 9.
    Vu, H., Eftestøl, T., Engan, K., Eilevstjønn, J., Linde, J., Ersdal, H.: Analysis of heart rate changes in newborns to investigate the effectiveness of bag-mask ventilation. In: Proceedings of Computing in Cardiology Conference (2014)Google Scholar
  10. 10.
    Vu, H., Eftestøl, T., Engan, K., Eilevstjønn, J., Linde, J., Ersdal, H.: Exploratory analysis of ventilation signals from resuscitation data of newborns. In: Proceedings of Biosignals (2015)Google Scholar
  11. 11.
    Safer Birth Research and Developemtn to Save Newborn lives.
  12. 12.
    Matlab Wilcoxon rank sum test.
  13. 13.
    Eftestøl, T., Maloy, F., Engan, K., Kotu, L.P., Woie, L., Orn, S.: A texture-based probability mapping for localisation of clinically important cardiac segments in the myocardium in cardiac magnetic resonance images from myocardial infarction patients. In: 2014 IEEE International Conference on Image Processing (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Huyen Vu
    • 1
    Email author
  • Trygve Eftestøl
    • 1
  • Kjersti Engan
    • 1
  • Joar Eilevstjønn
    • 2
  • Ladislaus Blacy Yarrot
    • 3
  • Jørgen E. Linde
    • 4
    • 6
  • Hege Ersdal
    • 5
    • 6
  1. 1.Department of Electrical Engineering and Computer ScienceUniversity of StavangerStavangerNorway
  2. 2.Strategic ResearchLaerdal Medical ASStavangerNorway
  3. 3.Research InstituteHaydom Lutheran HospitalManyaraTanzania
  4. 4.Department of PediatricsStavanger University HospitalStavangerNorway
  5. 5.Department of Anesthesiology and Intensive CareStavanger University HospitalStavangerNorway
  6. 6.Department of Health SciencesUniversity of StavangerStavangerNorway

Personalised recommendations