Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Neonatal Resuscitation: 2010 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations, Resuscitation (2010)
Guidelines on basic newborn resuscitation, WHO Library Cataloguing-in-Publication Data, ISBN: 978-92-4-150369-3 (2011)
Ciurea, B.M., Palade, D., Kostrakievici, S.: Lung ventilators parameters determination. U.P.B. Sci. Bull. 73(2), 107–120 (2011)
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)
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)
Ramsden, C.A., Reynolds, E.O.: Ventilator settings for newborn infants. Arch. Dis. Child. 62(9), 529–538 (1987)
Perlman, J., Kattwinkel, J., Wyllie, J.: Neonatal resuscitation: in pursuit of evidence gaps in knowledge. Resuscitation 83(5), 545–550 (2012)
Apgar score. http://en.wikipedia.org/wiki/Apgar_score
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)
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)
Safer Birth Research and Developemtn to Save Newborn lives. http://www.saferbirths.com/
Matlab Wilcoxon rank sum test. http://se.mathworks.com/help/stats/ranksum.html
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Vu, H. et al. (2015). Exploring the Relationship Between Characteristics of Ventilation Performance and Response of Newborns During Resuscitation. In: Fred, A., Gamboa, H., Elias, D. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2015. Communications in Computer and Information Science, vol 574. Springer, Cham. https://doi.org/10.1007/978-3-319-27707-3_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-27707-3_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-27706-6
Online ISBN: 978-3-319-27707-3
eBook Packages: Computer ScienceComputer Science (R0)