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
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;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2005.859810