• DocumentCode
    3562166
  • Title

    Exploratory analysis of heart rate changes in newborns to investigate the effectiveness of bag-mask ventilation

  • Author

    Huyen Vu ; Eftestol, Trygve ; Engan, Kjersti ; Eilevstjonn, Joar ; Linde, Jorgen ; Ersdal, Hege

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Stavanger, Stavanger, Norway
  • fYear
    2014
  • Firstpage
    457
  • Lastpage
    460
  • Abstract
    Neonatal mortality due to birth asphyxia in low-resource countries is a global problem. During the first minutes immediately after birth, healthcare personnel need to resuscitate non-breathing babies by effective positive pressure ventilations. Currently, an increase in heart rate is thought to be the most important indicator of successful manual bag-mask ventilation. ECG and ventilation signals were detected and parameterized into relevant information to explore the relationship between changes in heart rate and different possible determinant factors for beneficial ventilation. A data analysis approach is proposed to identify the relationships between these signal characteristics and heart rate changes. Several associations between characteristics of ventilation parameters and changes in heart rate were identified.
  • Keywords
    associative processing; data analysis; data mining; diseases; electrocardiography; feature extraction; health care; medical disorders; medical signal detection; medical signal processing; paediatrics; patient care; pneumodynamics; ECG signal detection; ECG signal parameterization; bag-mask ventilation effectiveness; beneficial ventilation; birth asphyxia; data analysis; effective positive pressure ventilation; exploratory heart rate change analysis; healthcare personnel; heart rate change-determinant factor relationship; heart rate increase; neonatal mortality; newborn heart rate change analysis; nonbreathing baby resuscitation; signal characteristics-heart rate change relationship; successful manual bag-mask ventilation indicator; ventilation parameter characteristics; ventilation signal detection; ventilation signal parameterization; Abstracts; Heart; Pediatrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2014
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4799-4346-3
  • Type

    conf

  • Filename
    7043078