• DocumentCode
    766393
  • Title

    Heart rate characteristics monitoring for neonatal sepsis

  • Author

    Moorman, J. Randall ; Lake, Douglas E. ; Griffin, M. Pamela

  • Author_Institution
    Depts. of Med. & Physiol., Univ. of Virginia, Charlottesville, VA, USA
  • Volume
    53
  • Issue
    1
  • fYear
    2006
  • Firstpage
    126
  • Lastpage
    132
  • Abstract
    While heart rate variability has been measured in many clinical settings and has offered insights into how HR is controlled, rarely has it offered unique information that has led to changes in patient management. We review our experience in developing continuous HR characteristics monitoring to aid in the early diagnosis of sepsis in premature infants in the neonatal intensive care unit. A predictive algorithm, developed at one center and validated at another, has led to diagnosis and treatment of this subacute and potentially catastrophic illness prior to appearance of symptoms of severe illness.
  • Keywords
    diseases; electrocardiography; medical signal processing; paediatrics; patient diagnosis; patient monitoring; reviews; heart rate characteristics monitoring; neonatal sepsis diagnosis; predictive algorithm; premature infants; review; Heart rate; Heart rate measurement; Heart rate variability; Human resource management; Lakes; Medical diagnostic imaging; Medical services; Patient monitoring; Pediatrics; Prediction algorithms; Biostatistical modeling; heart rate variability; multivariable logistic regression; sample asymmetry; sample entropy; Algorithms; Diagnosis, Computer-Assisted; Electrocardiography; Heart Rate; Humans; Infant, Newborn; Neonatal Screening; Reproducibility of Results; Sensitivity and Specificity; Sepsis;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2005.859810
  • Filename
    1561529