Authors:
Huyen Vu
1
;
Trygve Eftestøl
1
;
Kjersti Engan
1
;
Joar Eilevstjønn
2
;
Jørgen E. Linde
3
and
Hege Ersdal
3
Affiliations:
1
University of Stavanger, Norway
;
2
Laerdal Medical AS, Norway
;
3
Stavanger University Hospital and University of Stavanger, Norway
Keyword(s):
Ventilation Signal Processing, Therapeutic Parameters, Newborns, Statistical Significance Test, P-value, Exploratory Data Analysis Framework.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
Abstract:
Prevention of neonatal mortality and morbidity because of birth asphyxia is still a major challenge. In a non-breathing baby, resuscitation including manual ventilation should start within one minute after birth. Information extracted from ventilation signals might give a good indication of the effectiveness of therapy. A framework for exploratory data analysis was developed facilitating the development of signal parameters to identify the relationships between certain signal characteristics and various outcome groups. Low p-values found for some ventilation parameters indicates that the method presented could be useful in discovering factors and parameters that might be important for the outcome of ventilation therapy and for guiding further treatment.